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Humana's brokerage division is modernizing broker and enrollment operations. Critical data currently resides across systems such as CRM, quoting, and enrollment platforms.
This initiative focuses on centralizing that data within Databricks, transforming it into high-quality, structured datasets, and enabling downstream applications and APIs to deliver better broker workflows and operational insights, all under a single, centralized platform serving as a single source of truth.

The team is seeking a Lead Full Stack / Data Engineer to drive development across the Databricks platform, shape how data is structured and exposed, and ensure it can be effectively consumed by APIs and applications.

The Lead Full Stack Engineer Is involved in all stages of software development, including front-end development, back-end development, database integrations, network and hosting management, user interface, user experience, and back-end server management. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, andworks under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action.

Key Responsibilities:

• Lead development within Databricks, building and optimizing data pipelines using Python and PySpark

• Design and maintain clean, scalable datasets to support downstream applications and API consumption

• Partner with application and API teams to ensure data is accessible, performant, and usable

• Define best practices around data modeling, transformations, and performance tuning

• Collaborate on how data is exposed through API layers (e.g., Apigee) and consumed by frontend applications

• Work across distributed systems (CRM, quoting, enrollment platforms) to integrate and unify data sources

• Help drive architectural decisions across the data platform and its interaction with application layers

• Mentor engineers and guide development standards across the team

Use your skills to make an impact
 

Required Qualifications

• Bachelor's degree in Computer Science or related field and/or equivalent and relevant years of experience in lieu of degree requirement.

• 7+ years of experience in data engineering or data-focused software engineering

• Strong hands-on experience with all of the following:

  • Databricks

  • Python / PySpark

  • SQL (Postgres or similar relational databases)

• Experience building and optimizing data pipelines and transformations

• Strong understanding of data modeling and structuring data for downstream use

• Experience working in cloud environments (Azure or GCP)

• Experience with API-driven environments, including:

  • Collaborating with API teams

  • Understanding how data is exposed and consumed (Apigee or similar is a plus)

• Proven ability to lead technical initiatives and mentor engineers.

Preferred Qualifications:

• Experience with generative AI (GenAI) capabilities within Databricks; familiarity with Databricks Genie is a plus

• Experience supporting data for internal applications or data products

• Familiarity with frontend/backend stacks (React, Node, .NET) from a data consumption perspective

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

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 related skills, knowledge, experience, education, certifications, etc.

 

$129,300 - $177,800 per year

 

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family wh