Data Engineer, Worldwide Grocery Data & Analytics

Worldwide Grocery Store Tech (WWGST) is seeking a Data Engineer to join our Data & Analytics 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 Amazons 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 business value.

About the team
DASH Team is a cross-cutting data engineering team serving the broader WWGS organization and it is pioneering as an AI-first team delivering analytics using AI in 2026.. DASH operates as a central hub for data infrastructure consuming raw data transforming it into an analytical data and enabling access for consumers across the grocery data community. The team focuses on building robust scalable platforms long-term infrastructure stability leadership goals and measurable impact.

- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines

- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)

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 for more information. If the country/region youre applying in isnt 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 TX AUSTIN - 132100.00 - 178800.00 USD annually