Data Engineer, Worldwide Grocery Data & Analytics

Worldwide Grocery Store Tech (WWGST) is hiring a Data Engineer to join the Data & Analytics team in Austin, TX (onsite). This role focuses on building reliable data infrastructure and advanced pipelines that support generative AI and machine learning, BI, and retrieval-augmented generation (RAG) across grocery operations. You will work in an AI-first, cross-cutting environment where data quality, scalable architecture, and long-term stability are core to how teams deliver value.

What you’ll do

• Build and maintain infrastructure that enables data-driven decision making using software engineering best practices, data management fundamentals, storage principles, and distributed systems.
• Manage and optimize cloud computing resources, with a focus on AWS, to support data infrastructure.
• Create reliable, well-tested data pipelines with strong data quality practices including validation, deduplication, PII handling, and monitoring.
• Develop pipelines that feed GenAI workloads, BI (including feature pipelines and embedding generation), and retrieval-augmented generation (RAG) data ingestion.
• Use AI-assisted development tools (for example, Amazon Q and Kiro) to accelerate pipeline development, SQL, and debugging, while validating generated output for correctness.
• Partner with Business Intelligence Engineers on reporting, analysis, integrity, testing, validation, and documentation best practices.
• Work with Data Scientists and analytics teams to make high-quality, well-governed data available at scale, laying groundwork for future machine learning use cases.
• Contribute to architecture and technology decisions that enable a world-class user experience.
• Develop deep knowledge of Amazon data sources to select appropriate resources per use case.
• Operate effectively in ambiguous environments by building proofs of concept, iterating quickly, and improving solutions over time.
• Create extensible, easy-to-maintain designs with a long-term vision, aligned to business objectives.

Requirements

• 2+ years of data engineering experience
• Experience with data modeling, data warehousing, and building ETL pipelines
• Experience writing and optimizing SQL queries with large-scale, complex datasets
• Experience with one or more scripting languages such as Python or KornShell
• Bachelor’s degree in Computer Science, Computer Engineering, Information Management, Information Systems, or other related discipline

Technologies you may use

SQL, Python, KornShell, AWS, Amazon Q, Kiro, Hadoop, Hive, Spark, EMR

Team context

DASH Team is a cross-cutting data engineering team serving the broader WWGS organization. DASH is an AI-first team delivering analytics using AI in 2026, acting as a central hub for data infrastructure that consumes raw data, transforms it into an analytical data foundation, and enables access for consumers across the grocery data community. The team emphasizes robust, scalable platforms, long-term infrastructure stability, leadership goals, and measurable impact.

Compensation and benefits

Salary range: USD 101,300 - 160,000 per yearly.

• Sign-on payments
• Restricted stock units (RSUs)
• 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