About the role

Lead Full Stack Engineer at Humana focusing on digital metrics and analytics implementation. Requires experience in full stack development and database architecture with a strong understanding of healthcare data.

Responsibilities

Lead digital metrics projects that require technical implementation, including establishing new data capture patterns, data structures, and data feeds across digital platforms
Partner with analytics and business stakeholders to translate measurement requirements into scalable technical solutions
Develop a deep understanding of Humana’s digital data, including its structure, limitations, and nuances, and apply that knowledge to implementation decisions
Provide guidance on data architecture and structure to ensure reporting can be delivered accurately, efficiently, and consistently
Implement and maintain frontend instrumentation and supporting application logic to ensure reliable and consistent data collection
Work with databases and data stores to design schemas and access patterns aligned with reporting and analytics needs
Apply engineering best practices to ensure implementations are maintainable, testable, and performant
Lead technical problem–solving efforts, asking the right questions to understand the underlying measurement or data need before proposing solutions
Balance multiple priorities and initiatives, ensuring high‑quality execution in a fast‑paced environment
Take accountability for delivering results and following through on commitments

Strong understanding of database architectures and data modeling, with the ability to recommend data structures that support analytics and reporting needs
Experience working with large datasets and connecting reporting requirements to underlying technical implementations
Working knowledge of full stack development concepts, including frontend, backend, and data layers
High attention to detail, strong organizational skills, and a focus on accuracy
Ability to work independently, pick up initiatives with minimal supervision, and operate effectively in a fast‑paced environment
Experience implementing digital analytics platforms and tag management systems (e.g., Adobe Analytics, Google Analytics, Tealium)
Familiarity with scripting or general‑purpose programming languages (e.g., Python, Java, Kotlin, or similar)
Experience designing or supporting data pipelines, data feeds, or analytics‑oriented services
Experience working in large, matrixed organizations
Background in healthcare, wellness, or other regulated industries

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