Data Engineer, GMT Global Operations Engineering and Support

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 Finance 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 1600 active users. Youll 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 fundamentalsdatabase optimization ETL pipeline development and data modelingcombined with the ability to work in a fast-paced operational environment where production incidents require immediate response. Youll collaborate closely with business stakeholders in Finance Merchandising and Pricing to understand their needs troubleshoot issues and deliver solutions that enable data-driven decision making.

Youll work with a diverse technology stack including Amazon Redshift PostgreSQL/RDS AWS Glue S3 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.

Key job responsibilities
Application Development & Maintenance
Develop and maintain business-critical applications for Finance Merchandising Pricing Supply Chain and Marketing domains including pricing tools promotional planning systems financial 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 financial 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 financial 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)

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