{"schemaVersion":"jobsearcher.job.v1","id":"411bc24bb244b82be0ea57d4","url":"https://jobsearcher.com/jobs/411bc24bb244b82be0ea57d4","canonicalUrl":"https://jobsearcher.com/jobs/411bc24bb244b82be0ea57d4","title":"Data Engineer, Partner Experience","description":"Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports.\r\nAre you interested in shaping the future of entertainment? Do you want to invent, disrupt and redefine what entertainment means for fans, creators, and communities all around the globe?\r\nAs part of the Prime Video team, you'll work on fast-paced, challenging, and varied projects. You'll experiment with new possibilities, take risks, and collaborate with remarkable people.\r\nPrime Video's Partner and Content Foundations (PCF) product and data organization focuses on partners by delivering world-class tools that enable them to launch, grow, and scale businesses across Prime Video's business lines.\r\nPCF Data fulfills the data and analytics needs for the PCF organization by building scalable data infrastructure, automated pipelines, and trusted metrics that power supply chain analytics, catalog analytics, and content delivery measurement.\r\nThe team owns core Catalog and Quality datasets, tracking content availability, on-time delivery, offer quality, and supply chain efficiency across Prime Video's global operations. By producing quality data, providing actionable insights, and enabling self-service analytics, PCF Data drives data-driven decision-making across Product, Tech, and Operations.\r\nKey job responsibilities\r\nWe are seeking a talented Data Engineer to enhance PCF Data's core data infrastructure by implementing AWS services to build data pipelines, improve data accuracy, reduce latency, increase service stability, and ensure compliance with Amazon-wide data regulations.\r\nWrite clean, maintainable code that adheres to best practices\r\nLeverage AWS data processing services\r\nPossess broad knowledge of different data types and when to use them\r\nUnderstand data security and compliance standards to ensure alignment with company policies and regulations\r\nUse GenAI to improve efficiency and accelerate delivery\r\nA day in the life\r\nWrite the design document to propose solutions to challenging data processing and data handling.\r\nMeet with peers to discuss proposed solutions.\r\nReview design documents with product managers, senior management, and Senior SDEs to communicate your approach and gather feedback.\r\nBuild data infrastructure and pipelines using AWS services.\r\nAbout the team\r\nWe are a centralized data team supporting the Partner and Content Foundations. We process big data using advanced AWS services and collaborate with PMs, TPMs, SDEs, and Applied Scientists.\r\nBasic Qualifications\r\n3+ years of data engineering experience\r\nExperience with data modeling, warehousing and building ETL pipelines\r\nExperience with SQL\r\nExperience in Python, Perl, or another scripting language\r\nPreferred Qualifications\r\nExperience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions\r\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\r\nIf you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.\r\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\r\nUSA, WA, SEATTLE - 132,100.00 - 178,800.00 USD annually\r\nJ-18808-Ljbffr","company":"Role","rawCompany":"role","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-06-25T00:56:59.187Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer, Partner Experience","description":"Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports.\r\nAre you interested in shaping the future of entertainment? Do you want to invent, disrupt and redefine what entertainment means for fans, creators, and communities all around the globe?\r\nAs part of the Prime Video team, you'll work on fast-paced, challenging, and varied projects. You'll experiment with new possibilities, take risks, and collaborate with remarkable people.\r\nPrime Video's Partner and Content Foundations (PCF) product and data organization focuses on partners by delivering world-class tools that enable them to launch, grow, and scale businesses across Prime Video's business lines.\r\nPCF Data fulfills the data and analytics needs for the PCF organization by building scalable data infrastructure, automated pipelines, and trusted metrics that power supply chain analytics, catalog analytics, and content delivery measurement.\r\nThe team owns core Catalog and Quality datasets, tracking content availability, on-time delivery, offer quality, and supply chain efficiency across Prime Video's global operations. By producing quality data, providing actionable insights, and enabling self-service analytics, PCF Data drives data-driven decision-making across Product, Tech, and Operations.\r\nKey job responsibilities\r\nWe are seeking a talented Data Engineer to enhance PCF Data's core data infrastructure by implementing AWS services to build data pipelines, improve data accuracy, reduce latency, increase service stability, and ensure compliance with Amazon-wide data regulations.\r\nWrite clean, maintainable code that adheres to best practices\r\nLeverage AWS data processing services\r\nPossess broad knowledge of different data types and when to use them\r\nUnderstand data security and compliance standards to ensure alignment with company policies and regulations\r\nUse GenAI to improve efficiency and accelerate delivery\r\nA day in the life\r\nWrite the design document to propose solutions to challenging data processing and data handling.\r\nMeet with peers to discuss proposed solutions.\r\nReview design documents with product managers, senior management, and Senior SDEs to communicate your approach and gather feedback.\r\nBuild data infrastructure and pipelines using AWS services.\r\nAbout the team\r\nWe are a centralized data team supporting the Partner and Content Foundations. We process big data using advanced AWS services and collaborate with PMs, TPMs, SDEs, and Applied Scientists.\r\nBasic Qualifications\r\n3+ years of data engineering experience\r\nExperience with data modeling, warehousing and building ETL pipelines\r\nExperience with SQL\r\nExperience in Python, Perl, or another scripting language\r\nPreferred Qualifications\r\nExperience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions\r\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\r\nIf you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.\r\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\r\nUSA, WA, SEATTLE - 132,100.00 - 178,800.00 USD annually\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T00:56:59.187Z","dateModified":"2026-06-25T00:56:59.187Z","hiringOrganization":{"@type":"Organization","name":"Role","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"411bc24bb244b82be0ea57d4"},"url":"https://jobsearcher.com/jobs/411bc24bb244b82be0ea57d4"}}