Whole Foods Market is seeking a Data Engineer to join a team responsible for the operational ownership and technical evolution of a mission-critical enterprise data platform powering WFMs core business operations across Fice, Merchandising, Pricing, Supply Chain, and Marketing.
- As a Data Engineer, you will be responsible for developing, maintaining, and optimizing business-critical applications and data pipelines that serve 1,600+ active users
- you'll work on a complex ERP system built on AWS services, managing everything from data ingestion and ETL processing to report generation and application development
- Your work directly impacts WFMs ability to close their books monthly, set prices across 500+ stores, plan promotions, and generate executive KPIs
- This role requires strong technical depth in data engineering fundamentals database optimization, ETL pipeline development, and data modeling combined with the ability to work in a fast-paced operational environment where production incidents require immediate response
- you'll collaborate closely with business stakeholders in Fice, Merchandising, and Pricing to understand their needs, troubleshoot issues, and deliver solutions that enable data-driven decision making
- you'll work with a diverse technology stack including Amazon Redshift, PostgreSQL/RDS, AWS Glue, S3, Lambda, .NET framework, and various BI reporting tools.
- This is an opportunity to gain deep expertise in enterprise-scale data systems while making direct business impact on WFM operations.
Application Development & Maintece
- Develop and maintain business-critical applications for Fice, Merchandising, Pricing, Supply Chain, and Marketing domains including pricing tools, promotional planning systems, ficial reporting, category analytics, and supply chain dashboards
- Build and optimize data pipelines using AWS Glue, Lambda, and custom ETL frameworks; ensure data quality, completeness, and timeliness for critical business workflows
- Create and maintain BI reports and visualizations supporting operational decisions, executive KPIs, and month-end ficial close processes
- Implement new features and enhancements based on business partner requirements, balancing technical feasibility with business value
System Operations & Support
- Provide production support for enterprise data platform including troubleshooting data pipeline failures, database errors, report generation issues, and application defects
- Participate in 24/7 on-call rotation for incident response; resolve critical issues impacting ficial close, pricing operations, or business continuity
- Monitor system performance and proactively address bottlenecks in query execution, data processing, and report rendering
- Maintain comprehensive documentation including runbooks, technical specifications, and troubleshooting guides
Database & Performance Optimization
- Optimize SQL queries, data models, and database structures across Amazon Redshift and PostgreSQL/RDS environments
- Design efficient data schemas supporting complex business logic, historical tracking, and high-volume reporting requirements
- Tune ETL job performance, implement data partitioning strategies, and optimize resource utilization
Technical Excellence
- Write high-quality, maintainable code following Amazon engineering standards (.NET, Python, SQL)
- Collaborate on infrastructure improvements, security compliance (GDPR/CCPA), and migration to Amazon-native technologies
- Contribute to technical debt reduction, framework stability improvements, and operational efficiency initiatives 3+ years of data engineering experience
- 4+ years of SQL 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)
