Seattle

Join Amazon’s Tax Team as a Data Analyst for LATAM compliance.Are you a dynamic Business Analyst with a passion for tax technology? Are you proficient with Data Analysis tools such as SQL? Amazon's Global Tax Services Team is seeking an enthusiastic individual eager to navigate new territories, learn rapidly, and handle confidential information with the utmost integrity.You're the ideal fit if you possess a blend of data proficiency, solution design skills, and a solid grasp of tax or accounting principles. Your ability to make informed judgments and adapt in a fast-paced environment sets you apart. As a self-starter, you excel in driving initiatives and thrive in a results-driven setting.Key job responsibilitiesIn this role, you'll have a diverse range of responsibilities, including:- Design and Delivery: Contribute to the design and implementation of scalable tax technology solutions. - Data Analysis: Conduct in-depth research and analysis of tax reporting data for specific tax jurisdictions, addressing data quality issues, and defining functional requirements for technical development.- Process Improvement: Collaborate with tax teams to enhance efficiency and controller-ship in current processes, educating them on data acquisition for reporting, planning, and controller-ship.- Collaboration: Work closely with cross-functional teams, fostering relationships with the tax, business and engineering teams across Amazon.- Metrics Development: Support the creation of new metrics to quantify the value of various aspects of tax data.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

Amazon Web Services (AWS) is seeking a Data Center Civil Engineer to join its design team in Seattle, WA; Herndon, VA; Austin, TX; or Columbus, OH. As a Data Center Civil Engineer at AWS, you will lead Civil Engineering designs for Amazon Data Centers. You will be part of a highly creative and efficient design team comprised of Architects, Engineers, and Designers tasked with solving problems and challenging the status quo. As a subject matter expert, you will have a direct impact on the design of prototypical Data Center sites, provide technical design guidance and vendor oversight, solve large-scale implementation issues, and build a strong understanding of site design and program requirements. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Key job responsibilities- Manage our external civil design consultants through the Data Center design and construction process. - Review designs for site layout, grading, power substations, storm water, utilities, and pavement. - Coordinate with internal and external MEP design engineers. - Effectively communicate design standards to internal and external project partners. - Communicate conceptual designs and create/maintain project documentation before, during, and after construction. - Develop and maintain design standards, design prototypes, and template specifications related to site design for Data Centers and supporting infrastructure. - Coordinate with AWS Due Diligence and Real Estate teams to determine site selection criteria and review Due Diligence reports. - Create, review, and release design RFPs for various projects, including DCs and special program facilities. - Manage multiple fast paced projects simultaneously. Foresee and manage internal Technical Program Manager’s (TPM’s) expectation regarding project-specific cost and schedules variables. - Lead initiatives aimed at improving cost, quality, schedule, and consistency- Travel for site assessments, internal design meetings, construction review, and interfacing with authorities having jurisdiction. Anticipated travel is approximately 25%. About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. BASIC QUALIFICATIONS- Professional Engineering License, or plan for achieving licensure within 12 months of start date.- 7+ years professional experience in commercial, warehouse, and/or industrial site-civil design experience. ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.In this position, you will play a key role in operational and process improvement within Amazon Web Services, where we have a history and tradition of innovative technologies and services. Reporting to the Data Center Community (DCC) organization, you will have the opportunity to partner across the global AWS Infrastructure Services organization to shape the future of the AWS profile and tempo to which we deliver.Data Center Community is growing the One-Intake Program team function in scale and complexity in order to deliver NPI Readiness Milestones On Time for New Products to meet customer business requirements. The team is seeking a highly-skilled & driven Technical Program Manager who will help drive the team toward our mission of building durable and reliable data-informed processes within AWS Infrastructure. The ideal candidate has experience managing global Infrastructure projects/programs; developing, monitoring, and reporting project/program health metrics; leading cross-functional teams; developing and implementing change management plans; training and mentoring performance; and driving position readiness improvement. As a Technical Program Manager within this team focused on new product launch preparation, you will work with cross-organizational teams from Services, Hardware Engineering, Network Engineering, Software development, Capacity Planning and Data Center Operation teams to prepare for new product end to end launch readiness.The primary responsibilities from the Technical Program Manager include, but are not limited to, the following: - Lead planning, execution, and delivery tasks of multiple project/programs simultaneously. - Determine process health metrics and key performance indicators and develop data visualization reports illustrating process health. - Identify process improvement opportunities and gather user requirements with key internal customers. - Develop and implement scalable, data-driven process improvement/automated solutions. - Develop standard operating procedures, change/communication plans, and project/program-level status updates. - Drive adoption with internal customers through effective change management. - Anticipate potential issues and risks, and escalate appropriately and in a timely manner. - Remain flexible to changing priorities and open to new ideas. - Keep the customer experience as the primary focus. Key job responsibilitiesData Center Community is growing the One-Intake Program team function in scale and complexity in order to deliver NPI Readiness Milestones On Time for New Products to meet customer business requirements. This role will work with cross-functional teams from Services, Engineering and Capacity Planning teams to prepare for new product launch readiness with automation and operational process in place. About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.The mission of the One-Intake Program is to prepare for new product launches to the Infra ecosystem that will enable us to meet on-time delivery to customers and not negatively impact established business and operational metrics. Through this program, we will enable Infra to close existing intake gaps, improve the ownership of new products, and enhance support from engineering, planning, and operational teams when new instances, racks, and tools are being introduced to Infra. BASIC QUALIFICATIONS- 3+ years of technical infrastructure management experience- Knowledge of best practices and emerging technologies, related to infrastructure (i.e. network, data center, hardware, software)- Experience with varying scenarios of infrastructure builds ...

Data Engineer Come build the future as a Data Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Apply now and you will be eligible for Amazon Data Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada. Teams with available positions include, but are not limited to:• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions. • Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world. Your technology will support thousands of operators worldwide to design, build and run the best-in-class Amazon transportation network. We are building intelligent software to make transportation more reliable, faster, and less costly, providing a better and less expensive experience for our customers.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.About Us: Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Key job responsibilities• Design, implement, and support a platform providing secured access to large datasets.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.• Tune application and query performance using profiling tools and SQL.• Analyze and solve problems at their root, stepping back to understand the broader context.• Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Proficient in SQL- Experience with data modeling, warehousing and building ETL pipelines- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS ...

We are a team of doers working passionately to apply cutting-edge advances in technology to solve real-world problems. As a Data Engineer, you will participate in developing exciting products for customers and analytics for our daily operations. You would be joining the Device, Digital & Alexa Support (D2AS) organization which provides best in class customer support technologies for customers using Amazon products.Key job responsibilities- Work closely with data scientists and business intelligence engineers to create robust data architectures and pipelines.- Simplify and enhance the accessibility, clarity, and usability of large or complex datasets through the development of advanced BI dashboards and applications.- Take ownership of the design, creation, and upkeep of metrics, reports, analyses, and dashboards to inform key business decisions.- Navigate ambiguous environments by evaluating various options using both data-driven insights and business expertise.- Develop and manage scalable, automated, and fault-tolerant data solutions using cutting-edge technologies such as Spark, EMR, Python, Redshift, Glue, and S3.A day in the lifeData Engineers focus on managing customer requests, maintaining operational excellence, and enhancing core infrastructure. You will be collaborating closely with both technical and non-technical teams to design and execute roadmaps for essential Devices and Digital metrics.If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!Benefits Summary:Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanAbout the teamOur team manages a secure and compliant infrastructure that adapts to evolving data requirements for Devices and Digital teams. This involves solving data engineering challenges to create high-quality, reliable, accurate, consistent, and scalable data solutions that align with our business goals.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- Experience with one or more scripting language (e.g., Python, KornShell)- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project- Bachelor's degree, or Master's degree ...

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go! Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. and custom- by Amazonians, our Just Walk Out Technology uses a variety of technologies including vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in vision, machine learning, distributed systems and hardware . As a Data Engineer, you will help solve a variety of technical challenges and mentor other engineers. You will play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will help invent new features, , develop and deploy reliable distributed . You will work with a variety of core languages and technologies including , Linux, and AWS .You will tackle challenging situations every day and you’ll have the opportunity to work with multiple technical teams at Amazon. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on many customers.About the teamDiverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Innovation is at the core of what we do. We believe that by removing and reducing the barriers that prevent people from taking their medications, we can help customers conveniently get the medications they need, when they need them and take them as prescribed. We have provided customers with the ability to find transparent and simple pricing, receive 24/7 customer service support, and have their meds delivered to their doorsteps while creating programs and products that embody our mission and position ourselves in becoming the world’s safest and fastest online pharmacy.We are looking for a Data Engineer to join us on our journey to make it drastically easier for customers to find, choose, afford, and engage with the services, products, and professionals they need to get and stay healthy!As a Data Engineer in Pharmacy team, you will partner with Software Engineers, Business Intelligence Engineers and product managers. You will design, implement, and maintain next generation BI solutions for large scale, highly secure and complex data structures to ensure the data is auditable, available and accessible. You will gain a deep understanding of our services and the data they produce, and become our resident expert in how to transform that data into a format that is useful for analytics and business intelligence. You will proactively help to identify new data for integration with our platform, and propose and implement new technologies to help us better understand our data.#everydaybetterKey job responsibilities• Design, implement, maintain and support a secure and robust data lake in native AWS with 300+ datasets which contain both PII and PHI data.• Implement ingestion routines both real time and batch using best practices in modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Python and AWS big data technologies.• Gather business and functional requirements and translate into secure, robust, scalable,operable solutions with a flexible and adaptable architecture.• Collaborate with engineers to help adopt best practices in system creation, integrity, test design, analysis, validation, and documentation.• Help continually improve ongoing reporting and analysis processes, automating or simplifyingself-service tools for customers.• Explore and learn the latest AWS technologies to provide new capabilities and increaseefficiencyBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Bachelor's degree- 3+ years of experience in at least one of the programming languages like Python, Java etc.- Experience in working and delivering end-to-end projects independently.- Excellent written and verbal communication skills Amazon is committed to a diverse and- inclusive workplace. ...

Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. We are part of AWS Product BI team. This team supports the business intelligence needs for Compute, Storage, Networking, Automation & Messaging, Management Tools and Developer Tools product families. We own the data, metrics and reporting for these orgs. We empower all our stakeholders to make data driven business decisions by providing Daily Reports, WBRs, Analyses/Narratives and Datasets. We innovate on behalf of our end-users to produce relevant Metrics, Automations and Tools to make Data and Insights actionable.“Nothing is beyond our reach”We operate by the slogan that “nothing is beyond our reach”. We think big. We sometimes find ourselves asking “how in the world is there no tool or solution for this?”, or “how have we managed to operate like this for so long?”. Our response in these moments, is “well, let’s fix it”. If the idea of pioneering solutions to unsolved problems from the ground up in uncharted territory sounds exciting to you, come join us!AWS produces an outrageous amount of data, and our org is seeking a data engineer to usher in a new generation of data management where data can be a first class citizen in our operations. AWS is looking for an excellent Data Engineer to join the AWS Product BI team. This is your opportunity to be a core part of the team that has direct impact on the day-to-day decision making in the many AWS Product teams like EC2, S3 and IoT.Since early 2006, AWS has provided companies of all sizes with an infrastructure platform in the cloud. AWS is a high-growth, fast-moving division within Amazon with a start-up mentality where new and diverse challenges arise every day. On the AWS Product BI team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class BI is critical to our success. To help build this growing team, you should be highly analytical and possess a strong passion for analytics and accountability, set high standards with a focus on committed business success. We take working hard, having fun, and making history seriously. AWS sets the standard for functionality, cost, and performance for many cloud based services, but it’s still early days for cloud computing, and there are boundless opportunities to continue to redefine the world of cloud computing - come help us make history!As a Data engineer on this team, you will be a technical leader in our team, and own the technical architecture of our BI and Data platforms. You will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments. You will work closely with the business and technical teams in analysis on many non-standard and unique business problems and use creative-problem solving to deliver actionable output.Our team is serious about great design and redefining best practices with a cloud-based approach to scalability and automation. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and an ability to work effectively with cross-functional teams.Key job responsibilities- Designing, developing, troubleshooting, evaluating, deploying, and documenting data management and business intelligence systems, enabling stakeholders to manage the business and make effective decisions.- Building secure, available, scalable, stable, and cost-effective data solutions using data storage technologies, distributed file system, data processing, and business intelligence best practices.- Working with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.- Designing and planning for solutions in the various engineering subject areas as it relates to data storage and movement solutions: data warehousing, enterprise system data architecture, data design (e.g., Logical and Physical Modeling), data persistence technologies, data processing, data management, and data analysis.- Ensuring completeness and compatibility of the technical infrastructure to support system performance, availability and architecture requirements- Reviewing and participating in testing of the data design, tool design, data extracts/transforms, networks and hardware selectionsBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Bachelor's degree ...

MULTIPLE POSITIONS AVAILABLECompany: AMAZON.COM SERVICES LLCPosition Title: Data Engineer IILocation: Seattle, WashingtonPosition Responsibilities:Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior data engineers.Position Requirements:Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience in the job offered, or as an Operations Research Analyst, Database Developer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL/ELT processes; OLAP technologies; data modeling; and SQL. Partial telecommuting permitted; employees will be required to report to office multiple days per week.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation40 hours / week, 8:00am-5:00pm, Salary Range $156,386/year to $178,800/year. #0000BASIC QUALIFICATIONSPosition Requirements:Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience in the job offered, or as an Operations Research Analyst, Database Developer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL/ELT processes; OLAP technologies; data modeling; and SQL. Partial telecommuting permitted; employees will be required to report to office multiple days per week. #0000 ...

Love science and data? So do we! The Alexa Devices, Sales & Marketing organization is looking for an experienced Data Engineer to deliver solutions that help deepen our understanding of customers. You will be joining the Alexa Marketing Science (AMS) team, whose mission is to surface timely, scientifically-grounded insights about customers to guide marketing and product leaders.The ideal candidate has excellent technical skills, analytical abilities, written and verbal communication skills, and the ability to influence cross-functional teams. They are an expert with SQL, ETL, Tableau (or similar data visualization tools) and have an ability to quickly translate business requirements into technical solutions. The candidate is a self-starter and team player and able to think big while paying careful attention to detail.As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments using the latest set of tools. We help marketing and product teams in Alexa Devices understand our customers by providing data and metrics that provide insight into user experience. Our team is responsible for mission critical research and analytical reports and metrics that are viewed at the highest levels in the organization. We are also working on near-real-time analytics using the latest set of tools for data visualization and investing in Big Data technologies. You should have deep expertise in the design, creation, management, and business use of extremely large datasets, as well as data security and privacy standards and best practices.The role offers a unique opportunity to manage and build new data storage, pipelining, and visualization solutions from the ground up. You should possess high attention to detail, have excellent communication skills, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Above all you should be passionate about working with large data sets and someone who loves to bring datasets together to answer business questions and drive change.Key job responsibilities· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS services and internal BDT tools· Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies to support research needs· Interface with researchers and business stakeholders, gathering requirements and support ad-hoc data access to large data sets· Build and deliver high quality data sets to support research scientists and customer reporting needs· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers· Become a subject matter expert on Alexa and Amazon data sources relevant to Alexa marketing researchers’ use cases, and assist non-technical stakeholders with understanding and visualizing data· Educate the team on best practices for upholding data security and data privacy standards· Maintain clear and consistent documentation of relevant data sources and code frameworksAbout the teamThe Alexa Marketing Science (AMS) team is a team of Research Scientists and UX Researchers that surfaces timely, scientifically-grounded insights about customers to guide marketing and product leaders.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS ...

Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, tool providers, authors, and entrepreneurs. Our ad solutions—including sponsored, display, video, and custom ads—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more.Key job responsibilitiesCandidates for this position should have strong engineering fundamentals as well as real-world experience. You will showcase diverse architectural approaches and design patterns in your technical design. Think big and stay informed about industry standards in Ad tech space. Communicate effectively across all leadership levels verbally and in writing. Lead deep technical discussions with senior engineers, collaborating to solve challenging problems. You will be able to quickly grasp new systems and provide valuable consultation.A day in the lifeYou will work closely with the Business Intelligence Engineers, Data Scientists, Product Managers, Software Development teams and other business stakeholders on many unique business problems and use creative problem solving to deliver actionable output in data gathering, transformation, ingestion and storage. You should be able to gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. As a DE, you will be regularly mentoring junior engineerings, developing technical your leadership, and contributing to the design and implementation of highly available, scalable, stable, secure, and cost-effective analytic solutions.About the teamSales AI is a central data and science organization within Sales and Partners Enablement (SPE) that powers Ad Sales selling motions and workflows via a suite of AI, ML, and data services. Sales AI’s mission is to equip Sales with the data- and science-backed intelligence they need to improve their selling motions from routine practices to peak performance. Our primary focus is building scalable, production-ready solutions in support of the entire Sales organization. BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL and at least one modern scripting or programming language, such as Python, Java or Scala ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.We are calling on engineers who wants to contribute to a sustainable future through technology. Join us in developing solutions for renewable energy portfolio and reduce carbon footprint of our materials in data centers. In 2019, Amazon co-founded The Climate Pledge and made a commitment to achieve net-zero carbon by 2040 —10 years ahead of the Paris Agreement. We invited others to join us and there are now more than 300 businesses and organizations across 51 industries and 29 countries that have signed the Pledge, which means we are collectively coming at the climate crisis from nearly every sector and nearly every angle.As part of our efforts to decarbonize our business, we became the world’s largest corporate purchaser of renewable energy in 2020, and last year, we reached 85% renewable energy across our business, and are on a path to power our operations with 100% renewable energy by 2025.We recently announced that AWS will be water positive by 2030, returning more water to communities than it uses in its direct operations. To learn more about AWS’s water+ commitment visit: Water Stewardship.Come join the team that is building the tools and innovative technology to manage our growing portfolio of renewable energy investments, including solar, on-shore and off-shore wind farms.Key job responsibilitiesOur Data Engineers develop large data models for clients in energy, renewable resources, sustainability, and water sectors, enabling them to assess their portfolios. They help our data scientists create predictive models to enhance decision-making. A day in the lifeWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Connections is an innovative, research-driven science program and tech that gives Amazonians globally an effective way to provide feedback on the workplace and help shape the future of the company. Connections asks employees quick questions every day and uses that real-time information to learn from their experiences, introduce targeted content, and measure specific outcomes. Our goal is to strengthen Amazon’s workplace culture and develop leaders who earn trust, remove obstacles, and make Amazon an inspiring place to work.The Connections team combines the culture of a startup, the innovation and creativity of a R&D lab, and technical challenges at the scale of Amazon. We expect TPMs, engineers, and management alike to take a high-level of ownership for the product vision, technical architecture, and project delivery. Successful candidates will be high-bandwidth leaders who can cut through the noise, simplify relentlessly, deliver results, and help build great teams around themselves.As a Data Engineer, you will be responsible for designing and implementing data solutions using Amazon's cloud technologies. The ideal candidate excels at working with AWS ETL tools and is comfortable accessing and manipulating big data from multiple sources. You should passionately partner with business teams to identify strategic opportunities and deliver results. We're looking for someone with a strong drive to answer "why?" questions, excellent analytical abilities, and strong technical skills. Good written and verbal communication skills are essential. We're seeking a self-starter who is comfortable with ambiguity, able to think big while paying careful attention to detail, and thrives in a fast-paced, dynamic environment.Key job responsibilities- Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.- Contribute to the architecture and implementation of next generation data solutions from the ground up.- Manage AWS resources including S3, Athena, Batch, lambda etc.- Optimize automated processes for performance and fault tolerance.- Optimize support for ad-hoc analysis across various data sources- Collaborate with BI Engineers, Software Engineers, and cross-functionally to deliver high quality data architecture and pipelines.- Make large and/or complex data more accessible, understandable and usable by applications and teams.A day in the lifeAs a Data Engineer, you will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact. You have a strategic and long term view on architecting advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

Amazon seeks an experienced Data Engineer to join the DPS (Deny Party Screening) team. Our mission is to prevent denied party from transacting with Amazon businesses, including AWS, customers, vendors, sellers, subsidiaries, etc. We screen billions of events every day. We integrate with Tier 1 systems, build DPS systems, and deal with unique scaling challenges. As a Data Engineer, You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and datasets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. Your major responsibilities will include - Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies. - Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies. - Designing and implementing complex ELT pipelines and other BI solutions. - Work closely with business owners, developers, Business Intelligence Engineer to explore new data sources and deliver the data. About the teamAbout AmSec:Diverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon SecurityAt Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training and Career growthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS ...

AWS Hardware Engineering is looking for an experienced, innovative Data Engineer to join their Data Science and Analytics team. You will be part of a group of talented engineers and scientists that builds data products and services to turn hardware monitoring data into insights using advanced analytics and machine learning.As a Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact.You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long-term view on architecting advanced data ecosystem. You are experienced in building efficient and scalable data services and can integrate data systems with AWS tools and services to support a variety of customer use cases/applications.In this role, you can:Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning.Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.This role falls within the broader AWS Infrastructure Services (AIS) organization, which owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.About the teamAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.AWS values diverse experiences. Even if you do not meet all the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- A Bachelor's degree in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering) or equivalent industry experience- 3+ years of experience with demonstrated strength in ETL/ELT, data modeling, data warehouse technical architecture, infrastructure components and reporting/analytic tools- 3+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.- 3+ years of experience in scripting languages like Python etc. ...

AWS Hardware Engineering is looking for an experienced, innovative Data Engineer to join their Data Science and Analytics team. You will be part of a group of talented engineers and scientists that builds data products and services to turn hardware monitoring data into insights using advanced analytics and machine learning.As a Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact.You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long-term view on architecting advanced data ecosystem. You are experienced in building efficient and scalable data services and can integrate data systems with AWS tools and services to support a variety of customer use cases/applications.In this role, you can:Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning.Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.This role falls within the broader AWS Infrastructure Services (AIS) organization, which owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.About the teamAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.AWS values diverse experiences. Even if you do not meet all the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- A Bachelor's degree in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering) or equivalent industry experience- 3+ years of experience with demonstrated strength in ETL/ELT, data modeling, data warehouse technical architecture, infrastructure components and reporting/analytic tools- 3+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.- 3+ years of experience in scripting languages like Python etc. ...

The Seller Insights and Planning team’s mission is to make FBA the best place for sellers to both thrive and delight customers. We achieve this through identifying opportunities to address seller pain points, optimizing our services to reduce seller effort, eliminating the defects that lead to seller costs, and orchestrating initiatives across business, technology and operations that simplify the seller experience.As a Data Engineer in this role, you’ll have an opportunity to design, develop, and maintain a data lake that supports engineering, product, and business teams internationally within the Worldwide FBA business. Achieving this will require developing scalable data pipelines and systems that enable efficient and reliable data processing and integration from multiple sources owned by teams distributed internationally. Collaborating closely with cross-functional teams, you will need to determine engineering requirements and implement solutions that support our business intelligence and analytics initiatives, particularly focused on Worldwide FBA performance. The ideal candidate will be technically proficient (at the Data Engineering Coding bar), possess a strong background in data engineering, and have a deep understanding of data architecture. Key job responsibilitiesDesign, build, and maintain scalable and robust data pipelines for extracting, transforming, and loading (ETL) data from various structured and unstructured sources.Develop solutions to integrate data from multiple internal and external sources, ensuring accuracy, consistency, and reliability. Manage data storage solutions to optimize performance and cost-efficiencyDesign and implement efficient data models and schemas for business intelligence, analytics, and reporting. Ensure these models are optimized for performance, scalability, and accessibilityCollaborate with data analysts, BI engineers, software developers, and other stakeholders to understand data needs and provide solutions aligned with business requirements. Engage in cross-functional projects to support WW FBA initiativesImplement and maintain data validation processes to ensure high data quality and integrity. Establish data governance frameworks to enforce data security, privacy, and compliance standardsMaintain comprehensive documentation of data architecture, pipeline designs, and data models. Promote and enforce best practices for data engineering within the teamBASIC QUALIFICATIONS- Bachelor's degree in quantitative study such as Computer Science, Computer Engineering, Mathematics, or equivalent experience- 3+ years of data engineering experience- 3+ years of writing advanced SQL queries- Experience with data modeling, warehousing, and building ETL pipelines- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, R, or NodeJS- Proficiency in written and verbal communication skills including comfortability communicating and presenting to senior leadership ...

Amazon internships are full-time positions, and interns should expect to work Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes. By applying to this position, your application will be considered for all Data Engineer roles at all locations we hire for in the United States including but not limited to: Greater Seattle Area (Seattle, Bellevue, Redmond), Greater Bay Area (San Francisco, Sunnyvale, Santa Clara), Greater DMV (DC, MD, VA), Austin (TX), New York City (NY), Minneapolis (MN).You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer.Start dates for our internships in this posting include the following period:1. Summer (Starts May/June 2025)Do you love building data pipelines? Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data? Do you want to help solve big data warehousing problems, and partner with stakeholders to understand how to best design and implement cutting edge data solutions that provide answers to key business questions? Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet?If this describes you, consider joining us as an as Amazon is looking for a data engineer intern to join one our many lines of business. Amazon interns have the opportunity to work alongside the industry’s brightest engineers who innovate every day on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.Please review the following page for information on Amazon University Talent's recruiting timeline and additional FAQs: https://techengamazon.splashthat.com/. Key job responsibilitiesAs a Data Engineer intern, you will/may:• Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.• Design data schema and operate internal data warehouses and SQL/NoSQL database systems.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions.• Monitor and troubleshoot operational or data issues in the data pipelines.• Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.• Develop code based automated data pipelines able to process millions of data points.• Improve database and data warehouse performance by tuning inefficient queries.• Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems.• Provide assistance with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.A day in the lifeIn addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your summer and learn in a real-world setting.We’re on the lookout for the curious, those who think big and want to define the world of tomorrow.At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.BASIC QUALIFICATIONS- Experience with database, data warehouse or data lake solutions- Experience with SQL- Experience with one or more scripting language (e.g., Python, KornShell, Scala)- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Experience with data transformation.- Currently enrolled in or will receive a Bachelor’s in Computer Science, Computer Engineering, Information Management, Information Systems, or an equivalent technical discipline with a conferral date between October 2025 – December 2028. ...

Ads Central FP&A Finance is seeking a Data Engineer with strong database, analytical skills and big data technology experience who is passionate about building scalable next generation tools and data infrastructure to support science and automation. As a key data solution provider, you will be partnering with Finance and Business leaders to design, build, expand and optimize centralized data solutions. You will be working with massive amount of data, and your big data solutions will be supporting our rapidly growing Ads Business and dynamic business demand for data.In this role, you will be able to stretch your technical and analytical skills in developing Data frameworks and large database architecture for building orchestration layers and GenAI solutions for reporting tools and statistical models needed to provide key performance indicators and insights for our high-growth businesses.Key job responsibilities- Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal Amazon tools.- Improve existing solutions and come up with next generation Ads Finance Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.- Develop new data models and end to end data pipelines.- Develop a deep understanding of our vast data sources and know exactly how, when, and which data to use to solve particular business problems.BASIC QUALIFICATIONS- 2+ years of data engineering experience- Experience with SQL- Experience with data modeling, warehousing and building ETL pipelines- Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design- Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations ...

Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, tool providers, authors, and entrepreneurs. Our ad solutions—including sponsored, display, video, and custom ads—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more.Key job responsibilitiesAds Sales and Partners Enablement team is looking for a talented and innovative data specialist with an aptitude for new data and AI technologies. The ideal candidate will work on artificial intelligence and machine learning technologies to enhance our sales processes, improve customer interactions, and drive revenue growth. Your deep expertise in the design, creation, and management of large and complex datasets. You should have strong experience at building scalable solutions to flow huge amounts of data from production systems into the data lake. You should be able to design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science teams.A day in the lifeYou will work closely with the Business Intelligence Engineers, Data Scientists, Product Managers, Software Development teams and other business stakeholders on many unique business problems and use creative problem solving to deliver actionable output in data gathering, transformation, ingestion and storage. You should be able to gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. As a DE, you will be regularly mentoring junior engineerings, developing technical your leadership, and contributing to the design and implementation of highly available, scalable, stable, secure, and cost-effective analytic solutions.About the teamSales Data Services team is part of Sales AI, a central data and science organization within Sales and Partners Enablement (SPE) that powers Ad Sales selling motions and workflows via a suite of AI/ML services. Sales AI’s mission is to equip Sales with the data- and science-backed intelligence they need (and when they need it) to improve their selling motions from routine practices to peak performance.BASIC QUALIFICATIONS- Bachelor's degree, or Master's degree- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS ...