Lead Data Engineer – Modernization & Reliability

Humana•Tampa, FL

1d•Remote

About The Position

The Lead Data Engineer is responsible for leading the modernization, optimization, and stabilization of the Wisconsin Medicaid Market's data platform ecosystem across two independent health plan technology stacks. This role owns the market's Data Warehouse and ODS, drives ETL/data movement strategy (including SSIS modernization), and improves the reliability, observability, and security posture of data pipelines supporting critical Medicaid operations. The Lead Data Engineer partners 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. The Lead Data Engineer owns and evolves the Wisconsin Medicaid Market's data stores and data movement ecosystem, including the Data Warehouse and ODS, and the ETL processes that connect vendor and internal systems. This role is 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. The Lead Data Engineer is also the Market BI team's primary IT partner for data platform enablement — improving data access patterns, strengthening pipeline governance, and helping establish a maintainable approach to Databricks pipelines and workflows as the market matures its analytics capabilities. This is a Lead-level individual contributor role where work requires higher autonomy and complexity and includes directing the work of a small number of contract resources while remaining hands-on in delivery.

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).

Nice To Haves

Team operates in SAFe Agile practices.

Responsibilities

Own the market's data stores (Data Warehouse + ODS) and ensure stability, security, and performance
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

Benefits

medical
dental
vision benefits
401(k) retirement savings plan
time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
short-term and long-term disability
life insurance

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