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
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
Scheduled Weekly Hours
40Pay 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.
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 while also knowing your life extends outside of work. Among our 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.
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. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

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