Lead Data Engineer – Modernization & Reliability

Humana Inc. is a leading U.S. healthcare company seeking a Lead Data Engineer to oversee the modernization and optimization of the Wisconsin Medicaid Market's data platform ecosystem. This role involves managing the Data Warehouse and ODS, driving ETL strategies, and partnering with the Market BI team to enhance data access and flow.

Responsibilities:

• Lead the modernization, optimization, and stabilization of the Wisconsin Medicaid Market's data platform ecosystem across two independent health plan technology stacks
• Own the market's Data Warehouse and ODS, drive ETL/data movement strategy, and improve the reliability, observability, and security posture of data pipelines
• Partner closely with the Market BI team to improve data access and flow, including establishing and managing Databricks pipeline patterns
• Accountable for modernizing and optimizing the market's data platform to improve reliability, reduce technical debt, strengthen observability/fault tolerance, and increase engineering efficiency
• Direct the work of a small number of contract resources while remaining hands-on in delivery
• Define and enforce data engineering standards aligned with enterprise direction
• Reduce technical debt and streamline workflows to lower operational burden on engineers and increase delivery capacity

Requirements:

• Proven production experience with SQL Server data engineering, including warehousing patterns, operational support, performance tuning, and ETL/ELT design
• Strong experience with SSIS/SSRS and Azure Data Factory (or similar orchestration) in real operating environments
• Experience working across integration engines and healthcare data movement patterns, including tools such as Rhapsody / CorePoint
• Demonstrated ability to modernize and optimize fragile pipelines and legacy patterns, reduce technical debt, and improve reliability, observability, and fault tolerance
• Experience with Databricks and/or enterprise data platforms (e.g., UDAP), or strong aptitude and desire to grow into these platforms as part of market modernization and enterprise alignment
• Highly organized, self-directed, and able to drive work to outcomes in an ambiguous, rapidly changing environment including planning, sequencing, and communicating progress/risk
• Experience creating detailed technical documentation to gain buy-in and drive decisions
• Ability to direct and review contract resource work (clarify requirements, establish standards, review deliverables, ensure maintainability)
• Own the market's data stores (Data Warehouse + ODS) and ensure stability, security, and performance
• AI Integration
• Lead modernization and optimization of the ETL ecosystem, including SSIS modernization and improved reliability/observability
• Drive reduction of legacy report patterns and support transition aligned to enterprise SSRS footprint reduction efforts
• Partner with Market BI as their IT counterpart to improve data access and establish/manage Databricks pipeline patterns
• Define and enforce data engineering standards aligned with enterprise direction
• Reduce technical debt and streamline workflows to lower operational burden on engineers and increase delivery capacity