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Humana

Lead Data Engineer

Humana

Lead Data Engineer optimizing Databricks pipelines at Humana. Involved in architecting and improving the data platform for Part D and PDP data.

Posted 5/28/2026full-timeRemote • Kentucky • 🇺🇸 United StatesSenior💰 $142,300 - $195,700 per yearWebsite

Tech Stack

Tools & technologies
CloudETLPySparkPythonSQL

About the role

Key responsibilities & impact
  • Establish and uphold the goals and expectations that support the fulfillment of cultural and business objectives.
  • Operate with a team-first mindset, committed to ensuring the overall success of the team and organization.
  • In collaboration with the Part D business team and BI engineers, lead data engineering solutions (design, data movement, orchestration, optimization) for prioritized business requests impacting organizational and enterprise initiatives.
  • In Databricks: design, build, maintain, and support the data analytics platform, ensuring the platform is optimized for performance and the right tools are being used for the right jobs.
  • Work collaboratively with teammates to optimally apply data warehouse, cloud, and BI architecture, normalization, and data visualization techniques to deliver solutions.
  • Create and impact data scale solutions at the QCSA/Enterprise level to meet business needs.

Requirements

What you’ll need
  • 7+ years of experience in data engineering, with a focus on building scalable data pipelines and architectures.
  • Strong aptitude and motivation to grow into enterprise cloud platforms and technology as part of analytic modernization and enterprise alignment.
  • Experience working in Databricks.
  • Ability to analyze data to solve a wide variety of business problems, design and develop appropriate data movement and orchestration tools, and code to support strategic direction.
  • Extensive understanding of star schema, snowflake schema, data architecture, and design principles.
  • Strong SQL database design, optimization, ETL design, and execution (or similar orchestration).
  • Ability to develop modular, reusable code and tools.
  • Expertise in T-SQL, Python, PySpark, and pySQL languages.
  • Ability to thoroughly test and clearly document code.
  • Review the work of and advocate best practices to other engineers by influencing through demonstration, empathy, and data-driven persuasion.
  • Influence is earned by building trust, aligning with business goals, and speaking the language of return on investment.
  • Experience creating detailed technical documentation to gain buy-in and drive decisions.
  • Ability to clearly present data and solutions to leadership and stakeholders.
  • Proven ability to work with cross-functional teams and translate requirements between business, project management, and technical projects or programs.

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
  • many other opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data engineeringdata pipelinesdata architectureETL designSQLT-SQLPythonPySparkpySQLdata visualization
Soft Skills
team-first mindsetcollaborationinfluencetrust buildingcommunicationproblem solvingdocumentationpresentation skillsadvocacyempathy