Lead Data Engineer

Become a part of our caring community Risk Adjustment and Stars Analytics (RASA) delivers integrated solutions that leverage high-quality data, data-driven insights, and technology to create differentiated member and business partner experiences that drive measurable value (clinical, revenue, and administrative) and mitigate risk. RASA is part of the Quality Cost Strategy Analytics (QCSA) organization, which operates with a spirit of shared success to enable the enterprise to meet value targets in Trend, Stars, and Risk Adjustment. This role will be closely aligned with the Part D and PDP teams under the Provider Programs organization within Risk Adjustment. The Lead Data Engineer handles work assignments involving complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Lead Data Engineer in RASA (Risk Adjustment and Stars Analytics) will be a talented associate who builds strong relationships with customers to understand business needs and expectations. This individual will improve data access patterns, strengthen pipeline governance, and help establish a maintainable approach to Databricks pipelines and workflows as the Part D/PDP data universe matures its analytics capabilities. The role is accountable for architecting, modernizing, and optimizing the Part D and PDP data platform to improve reliability, reduce technical debt, strengthen observability/fault tolerance, and increase engineering efficiency in a complex, changing environment. This is a lead-level, individual contributor role requiring high autonomy and the ability to facilitate work across multiple teams, including IT. The needs of our business segment change frequently, so the ideal candidate will leverage subject matter experts and other resources, clearly communicate across technical and business teams, and resolve ambiguity to solve business problems with curiosity. A successful candidate will be able to clearly explain the details of their work to both customers and the team. Candidates must be passionate about contributing to an organization focused on continuously improving consumer experiences. The ideal candidate thrives in autonomy and is self-directed to drive work to outcomes in an ambiguous, rapidly changing environment, including planning, sequencing, and communicating progress/risk. Key Responsibilities 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. Required Qualifications 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. Preferred Qualifications Bachelor’s degree or Master’s degree. Previous experience with and knowledge of Part D / PDP programs and data. Experience with Humana enterprise data platforms and cloud ecosystems (UDAP/ADLS/Databricks/ADF/ASA, Snowflake) or other cloud-based platforms. Previous experience with and knowledge of the CMS Stars and/or Risk Adjustment programs. Broad understanding of our businesses and connectedness to key Humana constituent areas. Knowledge of Humana's internal policies. Within reasonable commuting distance or residence in Louisville, KY. Scheduled Weekly Hours 40 Travel While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Pay Range $142,300 - $195,700 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 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. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our #J-18808-Ljbffr