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Data Engineer, Data Platform Management, Grocery Tech Foundations
Amazon
H1B ✓On-sitesenior levelPosted April 13, 2026
About the Role
The role involves leading data integration and analytics projects while designing scalable data infrastructure to support grocery business operations. You will collaborate with cross-functional teams to build efficient data pipelines and ensure reliable data delivery for business users.
Requirements
Candidates must have at least 5 years of data engineering experience and strong proficiency in SQL, data modeling, and ETL processes. Experience with AWS cloud technologies and programming languages like Python or Pyspark is required.
Full Job Description
Amazon's Worldwide Grocery Stores-Grocery Tech Foundation 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.
Key job responsibilities
- Participate 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.
- Lead data integration, reporting, and analytics projects, leveraging experience in enterprise data engineering.
- Understand business requirements, design and implement scalable data model, ETL processes and reporting to address business needs.
- Design and build next-generation data infrastructure to replace existing third-party solutions.
- Collaborate cross-functionally with Data Engineers, Software Developers, Business Intelligence Engineers, Analysts, Product Managers, and Program Managers.
- Transform complex datasets into automated, digestible analytic deliverables.
- Demonstrate strong organizational skills, decisiveness, and ownership while working in a team environment.
- Drive significant impact through modernized design, architecture, and development of data products.
- Contribute technical expertise to help transition the organization from legacy solutions to future-state data infrastructure.
- Partner with data engineering team members to deliver on strategic vision and objectives.
A day in the life
Ensure 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, Pyspark 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.
About the team
The Data Platform Management (DPM) team under Grocery Tech Foundation (GTF) 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. You will be able to enjoy and contribute to the unique blend of Amazon and WFM Tech culture. Basic Qualifications: - 5+ years of data engineering experience
- 3+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience using business intelligence reporting tools such as OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, etc.
- Experience with any ETL tool like, Informatica, ODI, SSIS, Datastage, etc.
- Experience with programming languages like Python, Pyspark or equivalent
- Experience in reverse engineering legacy analytical/reporting applications where minimal documentation is available. Preferred Qualifications: - AWS certification, such as, AWS Solutions Architect, or a similar cloud certification, or Associate's degree or above
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience in Database like NoSQL, or experience in any Bigdata architecture and experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience in leveraging GenAI capabilities to enhance and improve SDLC processes
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our 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.
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually
Key job responsibilities
- Participate 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.
- Lead data integration, reporting, and analytics projects, leveraging experience in enterprise data engineering.
- Understand business requirements, design and implement scalable data model, ETL processes and reporting to address business needs.
- Design and build next-generation data infrastructure to replace existing third-party solutions.
- Collaborate cross-functionally with Data Engineers, Software Developers, Business Intelligence Engineers, Analysts, Product Managers, and Program Managers.
- Transform complex datasets into automated, digestible analytic deliverables.
- Demonstrate strong organizational skills, decisiveness, and ownership while working in a team environment.
- Drive significant impact through modernized design, architecture, and development of data products.
- Contribute technical expertise to help transition the organization from legacy solutions to future-state data infrastructure.
- Partner with data engineering team members to deliver on strategic vision and objectives.
A day in the life
Ensure 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, Pyspark 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.
About the team
The Data Platform Management (DPM) team under Grocery Tech Foundation (GTF) 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. You will be able to enjoy and contribute to the unique blend of Amazon and WFM Tech culture. Basic Qualifications: - 5+ years of data engineering experience
- 3+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience using business intelligence reporting tools such as OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, etc.
- Experience with any ETL tool like, Informatica, ODI, SSIS, Datastage, etc.
- Experience with programming languages like Python, Pyspark or equivalent
- Experience in reverse engineering legacy analytical/reporting applications where minimal documentation is available. Preferred Qualifications: - AWS certification, such as, AWS Solutions Architect, or a similar cloud certification, or Associate's degree or above
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience in Database like NoSQL, or experience in any Bigdata architecture and experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience in leveraging GenAI capabilities to enhance and improve SDLC processes
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our 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.
The 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.
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually