Data Engineer, Worldwide Grocery Data & Analytics

Amazon • Austin, TX

1d • $101,300 - $160,000 • Onsite

About The Position

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. The 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.

Requirements

• 1+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
• Experience with one or more scripting language (e.g., Python, KornShell)
• Bachelor's degree

Nice To Haves

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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 business value.

Benefits

• 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
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level