Lead Data Engineer

Role Description

We are seeking an experienced and strategic Lead Data Engineer to join our ITSM Applied AI and Analytics team. This individual will lead the development and evolution of our enterprise-facing data store built on Azure Databricks, driving architectural decisions, mentoring team members, and ensuring scalable, high-quality data solutions across the organization.

• Lead the design, development, and optimization of ETL/ELT pipelines using Databricks, Apache Spark, Unity Catalog, and Delta Lake.
• Architect data workflows following Medallion Architecture (Bronze, Silver, Gold layers).
• Guide the integration of external APIs and systems, including ServiceNow and Kafka for real-time data streaming.
• Establish and enforce best practices in CI/CD, GitHub workflows, and code quality.
• Manage compute appropriately to ensure cost control.
• Collaborate with stakeholders to define data strategy, governance, and platform enhancements.
• Provide technical leadership and mentorship to data engineers and analysts.
• Conduct code reviews and ensure adherence to engineering standards.
• Communicate effectively with technical and non-technical stakeholders.

Qualifications

• 5+ years of experience in data engineering, with at least 2 years in a lead or senior role.
• Deep expertise in Databricks, Apache Spark, Unity Catalog, and Delta Lake.
• Strong understanding of Medallion Architecture and scalable data design.
• Strong proficiency in Python for data engineering tasks (APIs, Spark data frames, OAuth, etc.).
• Familiarity with Databricks Materialized views.
• Experience with Kafka for real-time data ingestion and processing.
• Proficiency in GitHub, CI/CD pipelines, and DevOps practices.
• Experience building and integrating REST APIs.
• Excellent communication, leadership, and documentation skills.

Preferred Qualifications

• Databricks certifications (e.g., Data Engineer Professional).
• Familiarity with ServiceNow data structures and integration.
• Experience with enterprise analytics platforms like Power BI or Power Apps.
• Background in enterprise environments with data governance and compliance requirements.
• Background in enterprise data architecture and governance.

Benefits

• Work-Life Balance
• Generous PTO package
• Health benefits effective day 1
• Annual Incentive Plan
• 401K - Excellent company match
• Well-being program
• Paid Volunteer Time Off

Additional Information

• Candidates will be asked to present a GitHub-hosted project as part of the interview process.

Work at Home Guidance

• 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.

Scheduled Weekly Hours

• 40

Pay Range

• $142,300 - $195,700 per year
• This job is eligible for a bonus incentive plan based upon company and/or individual performance.

Description of Benefits

• Humana provides 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 and many other opportunities.

Application Deadline

• 04-24-2026

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements.