Data Engineer, Data Platform Management, Grocery Tech Foundations
Amazon - Austin, Texas, USA
Posted Apr 13, 2026
Benefits
- Parental leave
- 6 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- $132K-$179K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
39% above the BLS role benchmark for data and ml aggregate.
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Equity
- Offered Verified - SEC 10-K source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Data Engineer, Data Platform Management, Grocery Tech Foundations Austin, Texas, USA 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
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