Data Engineer, Worldwide Grocery Data & Analytics

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

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Offered From the posting source checked Jun 20, 2026
• Surrogacy assistance: Not verified

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

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

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, Worldwide Grocery Data & Analytics Austin, Texas, USA Worldwide Grocery Store Tech (WWGST) is seeking a Data Engineer to join our Data & Analytics team. In this position, you will be responsible for architecting robust data infrastructures and developing advanced data pipelines to unlock the full potential of our expansive data landscape. Key job responsibilities - Help build the infrastructure that powers data-driven decision making. Utilize software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems. - Manage and optimize usage of cloud computing resources, particularly on AWS, to support data infrastructure. - Collaborate with Business Intelligence Engineers to establish best practices for data reporting, analysis, integrity, testing, validation, and documentation. - Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning. - Drive the architecture and technology decisions that enable a world-class user experience. - Develop in-depth knowledge of the Amazon's various data sources to determine the appropriate data resources for each use case. - Encourage the organization to adopt next-generation data architecture strategies, proposing both data flows and storage solutions - Thrive in an environment with a degree of ambiguity, quickly building proof of concepts, iterating, and improving data-driven solutions. - Create extensible designs and easy to maintain solutions with the long term vision in mind. - Have an understanding and empathy for business objectives, and continually align your work with those objectives and seek to deliver

Read the full description at www.amazon.jobs. FewerJobs shows a preview and links to the original posting.