Lead Data Engineer – Modernization & Reliability

Humana Inc. is a leading U.S. healthcare company seeking a Lead Data Engineer to modernize and optimize their data platform ecosystem for the Wisconsin Medicaid Market. The role involves leading the data warehouse and ETL processes, enhancing data access, and collaborating with the Market BI team to improve data flow and pipeline governance.

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 (including SSIS modernization), and improve the reliability, observability, and security posture of data pipelines supporting critical Medicaid operations
• Partner closely with the Market BI team as their IT counterpart to improve data access and flow, including establishing and managing Databricks pipeline patterns and platform enablement as the BI environment evolves
• Accountable for modernizing and optimizing the market's data platform to improve reliability, reduce technical debt, strengthen observability/fault tolerance, and increase engineering efficiency in a complex dual-stack environment
• Direct the work of a small number of contract resources while remaining hands-on in delivery
• Create detailed technical documentation to gain buy-in and drive decisions
• Define and enforce data engineering standards aligned with enterprise direction
• Drive reduction of legacy report patterns and support transition aligned to enterprise SSRS footprint reduction efforts

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