Lead Data Engineer

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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.

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.

• 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.

• 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.

• 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.

• Exposure to AI/ML-driven analytics preferred.

• Ability to lead complex technical initiatives and translate data insights into business outcomes.

Any advanced degree

Any data related certifications

To ensure Home or Hybrid Home/Office associates’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:

• At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested

• Satellite, cellular and microwave connection can be used only if approved by leadership

• Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

• Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job.

• Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

Travel:
While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

40

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job…