Lead Data Engineer

Humana Inc. is a leading U.S. healthcare company that provides integrated solutions in healthcare services. The Lead Data Engineer will architect, modernize, and optimize the Part D and PDP data platform, improving data access patterns and engineering efficiency while collaborating across multiple teams to fulfill business needs.

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

Requirements:

• 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
• 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