Lead Data Engineer

Humana • Louisville, KY

4d • Remote

About The Position

The Lead Data Engineer – Application Health is responsible for designing, building, and maintaining scalable data solutions that enable the continuous measurement, monitoring, and optimization of application health across the enterprise. This role leads the development of data pipelines, analytics platforms, and intelligence solutions that convert structured and unstructured data into actionable insights. By partnering closely with Technology, Architecture, Security, and Engineering teams, the Lead Data Engineer plays a critical role in ensuring application reliability, technical compliance, cost efficiency, and risk reduction at scale. This position will require a presence in or within commutable distance to either Louisville, KY or Dallas, TX. The Lead Data Engineer – Application Health designs and delivers scalable, cloud‑native data solutions that enable enterprise‑wide visibility into application health, risk, and optimization. This role powers the Application Health scorecard by transforming diverse data into actionable insights that reduce technical debt, strengthen compliance, and improve reliability and cost efficiency.

Requirements

• Bachelor's Degree or equivalent and relevant years of experience in lieu of degree requirement.
• 5+ years' experience in data engineering within large‑scale enterprise environments.
• 5+ years' experience with Databricks
• 5+ years' experience and strong knowledge in cloud platforms and data technologies (data lakes, data warehouses, streaming).
• Proven experience building complex data pipelines and integration frameworks.
• Hands‑on experience with big data, analytics platforms, and data modeling.
• Ability to lead complex technical initiatives and translate data insights into business outcomes.

Nice To Haves

• Any advanced degree
• Any data related certifications
• Exposure to AI/ML‑driven analytics preferred.

Responsibilities

• Design, build, and maintain data architectures and pipelines supporting Application Health reporting and analytics.
• Ingest and integrate data from multiple internal and external sources using modern cloud‑native technologies.
• Develop analytics, dashboards, and scorecards across architecture, data quality, security, engineering standards, reliability, and technology stack alignment.
• Leverage big data and AI/ML‑enabled solutions to cleanse, transform, and enrich enterprise data.
• Provide technical leadership, set engineering standards, review designs, and mentor team members.
• Partner with Technology Stewardship, Tech Strategy, EIP, CIO Segment Engineering, and application owners to align solutions with enterprise priorities.
• Ensure data solutions comply with governance, security, privacy, and regulatory standards.
• Evaluate emerging technologies to improve scalability, performance, reliability, and cost efficiency.

Benefits

• 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
• bonus incentive plan

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree