{"schemaVersion":"jobsearcher.job.v1","id":"43d44b3465330b6823a4f817","url":"https://jobsearcher.com/jobs/43d44b3465330b6823a4f817","canonicalUrl":"https://jobsearcher.com/jobs/43d44b3465330b6823a4f817","title":"Data Engineer, Data Platform Management, Grocery Management Tech","description":"DESCRIPTION\nAmazon's Worldwide Grocery Stores-Grocery Management Tech team is seeking an experienced Data Engineer to lead medium to large cross-functional strategic initiatives that support WWGS strategic goals. This is a unique opportunity for someone inspired by WWGS core values and is interested in Amazon’s high-growth grocery business to bring their whole self to the role.\n\nKey job responsibilities\n\nParticipate in on-call rotation to provide support for custom-built reporting and analytical applications, ensuring business-as-usual operations and timely data delivery for business users.\nLead data integration, reporting, and analytics projects, leveraging experience in enterprise data engineering.\nUnderstand business requirements, design and implement scalable data model, ETL processes and reporting to address business needs.\nDesign and build next-generation data infrastructure to replace existing third-party solutions.\nCollaborate cross-functionally with Data Engineers, Software Developers, Business Intelligence Engineers, Analysts, Product Managers, and Program Managers.\nTransform complex datasets into automated, digestible analytic deliverables.\nDemonstrate strong organizational skills, decisiveness, and ownership while working in a team environment.\nDrive significant impact through modernized design, architecture, and development of data products.\nContribute technical expertise to help transition the organization from legacy solutions to future-state data infrastructure.\nPartner with data engineering team members to deliver on strategic vision and objectives.\n\nA day in the life\nEnsure business continuity and on-time data delivery to business users. Work with your leadership to define and execute the reporting and analytics strategy for WWGST. This will involve leveraging your Data Modeling, SQL and coding skills in languages like Python and Java to extract, transform, and load data. You will collaborate closely with both internal and external teams to scope, design, build, and support efficient and cost-effective data pipelines focused on performance, operational excellence, and delivering business value. This work will span multiple technology stacks, including a custom-built proprietary Amazon framework. You will participate in and lead standups, design sessions, and Jira management, creating necessary documentation and artifacts. Additionally, you will have the opportunity to lead and mentor your peers.\n\nAbout the team\nThe Data Platform Management (DPM) team under Grocery Management Tech is responsible for data and reporting solutions for Grocery business users. We enable sophisticated, fact-based decision making across WWGST by delivering constantly evolving technology and analytic capabilities. This team will solve challenging and novel problems every day while collaborating with multiple teams across WWGST (Whole Foods Market (WFM)). You will be able to enjoy and contribute to the unique blend of Amazon and WFM Tech culture.\nBASIC QUALIFICATIONS\n5+ years of data engineering experience\nExperience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding\nKnowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)\nExperience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.\nExperience using business intelligence reporting tools such as OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, etc.\nExperience with programming languages like Python, JavaScript, Go, .Net, Java or equivalent\nExperience in reverse engineering legacy analytical/reporting applications where minimal documentation is available.\nPREFERRED QUALIFICATIONS\nExperience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)\nExperience in Database like NoSQL, or experience in any Bigdata architecture and experience that includes strong analytical skills, attention to detail, and effective communication abilities\nAWS certification, such as, AWS Solutions Architect, or a similar cloud certification, or Associate's degree or above\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If 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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\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.\n\nUSA, TX, Austin - 132,100.00 - 178,800.00 USD annually","company":"Amazon.com Services","rawCompany":"amazoncom services","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-16T16:13:53.282Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"445110","title":"Supermarkets and Other Grocery Retailers (except Convenience Retailers)","slug":"supermarkets-and-other-grocery-retailers-except-convenience-retailers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer, Data Platform Management, Grocery Management Tech","description":"DESCRIPTION\nAmazon's Worldwide Grocery Stores-Grocery Management Tech team is seeking an experienced Data Engineer to lead medium to large cross-functional strategic initiatives that support WWGS strategic goals. This is a unique opportunity for someone inspired by WWGS core values and is interested in Amazon’s high-growth grocery business to bring their whole self to the role.\n\nKey job responsibilities\n\nParticipate in on-call rotation to provide support for custom-built reporting and analytical applications, ensuring business-as-usual operations and timely data delivery for business users.\nLead data integration, reporting, and analytics projects, leveraging experience in enterprise data engineering.\nUnderstand business requirements, design and implement scalable data model, ETL processes and reporting to address business needs.\nDesign and build next-generation data infrastructure to replace existing third-party solutions.\nCollaborate cross-functionally with Data Engineers, Software Developers, Business Intelligence Engineers, Analysts, Product Managers, and Program Managers.\nTransform complex datasets into automated, digestible analytic deliverables.\nDemonstrate strong organizational skills, decisiveness, and ownership while working in a team environment.\nDrive significant impact through modernized design, architecture, and development of data products.\nContribute technical expertise to help transition the organization from legacy solutions to future-state data infrastructure.\nPartner with data engineering team members to deliver on strategic vision and objectives.\n\nA day in the life\nEnsure business continuity and on-time data delivery to business users. Work with your leadership to define and execute the reporting and analytics strategy for WWGST. This will involve leveraging your Data Modeling, SQL and coding skills in languages like Python and Java to extract, transform, and load data. You will collaborate closely with both internal and external teams to scope, design, build, and support efficient and cost-effective data pipelines focused on performance, operational excellence, and delivering business value. This work will span multiple technology stacks, including a custom-built proprietary Amazon framework. You will participate in and lead standups, design sessions, and Jira management, creating necessary documentation and artifacts. Additionally, you will have the opportunity to lead and mentor your peers.\n\nAbout the team\nThe Data Platform Management (DPM) team under Grocery Management Tech is responsible for data and reporting solutions for Grocery business users. We enable sophisticated, fact-based decision making across WWGST by delivering constantly evolving technology and analytic capabilities. This team will solve challenging and novel problems every day while collaborating with multiple teams across WWGST (Whole Foods Market (WFM)). You will be able to enjoy and contribute to the unique blend of Amazon and WFM Tech culture.\nBASIC QUALIFICATIONS\n5+ years of data engineering experience\nExperience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding\nKnowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)\nExperience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.\nExperience using business intelligence reporting tools such as OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, etc.\nExperience with programming languages like Python, JavaScript, Go, .Net, Java or equivalent\nExperience in reverse engineering legacy analytical/reporting applications where minimal documentation is available.\nPREFERRED QUALIFICATIONS\nExperience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)\nExperience in Database like NoSQL, or experience in any Bigdata architecture and experience that includes strong analytical skills, attention to detail, and effective communication abilities\nAWS certification, such as, AWS Solutions Architect, or a similar cloud certification, or Associate's degree or above\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If 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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\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.\n\nUSA, TX, Austin - 132,100.00 - 178,800.00 USD annually","datePosted":"2026-07-16T16:13:53.282Z","dateModified":"2026-07-16T16:13:53.282Z","hiringOrganization":{"@type":"Organization","name":"Amazon.com Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"43d44b3465330b6823a4f817"},"url":"https://jobsearcher.com/jobs/43d44b3465330b6823a4f817"}}