Lead Data Engineer – Modernization, Reliability

Humana

Lead Data Engineer responsible for modernizing and optimizing Wisconsin Medicaid Market's data platform ecosystem. Collaborating with BI team to improve data access and drive ETL strategy in a complex dual-stack environment.

Posted 6/3/2026full-timeLouisville • District of Columbia, Florida, Kentucky, North Carolina, Texas, Virginia, Washington • 🇺🇸 United StatesSenior💰 $142,300 - $195,700 per yearWebsite

Tech Stack

Tools & technologies

AzureETLSQLSSIS

About the role

Key responsibilities & impact

responsible for leading the modernization, optimization, and stabilization of the Wisconsin Medicaid Market's data platform ecosystem across two independent health plan technology stacks.
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.
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.
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.
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.

Requirements

What you’ll need

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.
Ability to direct and review contract resource work (clarify requirements, establish standards, review deliverables, ensure maintainability).

Benefits

Comp & perks

medical, dental and 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQL Serverdata engineeringETLELTperformance tuningSSISSSRSAzure Data FactoryDatabricksdata warehousing

Soft Skills

highly organizedself-directedplanningsequencingcommunicationability to drive work to outcomesrisk management