Data Engineer, Worldwide Grocery Data & Analytics
Austin, TX, United States • Posted June 03, 2026
Job Type:
Full-time
Location:
Austin, TX
Posted:
June 03, 2026
Category:
other-general
Application Deadline:
June 08, 2026
Role Description
Description
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 m...
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 m...
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