Senior Data Engineer

Humana • Louisville, KY

7d • Remote

About The Position

The Senior Data Engineer Designs, builds, and maintains data processing architectures and solutions enabling the efficient conversion of structured and unstructured data to insights at enterprise scale. The Senior Data Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Data Engineer Ingests data from internal and external sources utilizing cloud native platforms and software development best practices and patterns. Develops software tools that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data into insights and actions that enables Humana to better serve our members. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or related fields.
• Minimum of 5 years of professional experience applying specialized technical knowledge to analyze, integrate, or support information systems or data platforms in an enterprise environment.
• Experience working with data integration, system modernization, or analytical reporting platforms.
• Experience with modernizing large data engineering processes from on-prem to the cloud.
• Experience with Databricks, SQL, PySpark, SparkSQL, Unity Catalog, Delta Lake, Azure Cloud.

Nice To Haves

• Master's degree.
• Experience with Oracle.
• Experience with Claude Code, Genie Code, or similar AI tools.

Responsibilities

• Analyze business and operational requirements and contribute to the design of system‑level solutions supporting reporting, analytics, and data‑driven processes.
• Review existing applications, data pipelines, and data warehouse components to identify inefficiencies, integration gaps, or performance issues and recommend system improvements.
• Design and support data ingestion and integration workflows, including batch and near‑real‑time processing across internal and external data sources.
• Participate in the implementation and modernization of data platforms, including migration or integration of legacy on‑premise SQL‑based environments with cloud‑based platforms such as Databricks, in accordance with established architecture standards.
• Develop and support data migration and system integration approaches to ensure reliable, secure, and accurate data movement across enterprise systems.
• Work with business users, data engineers, and application teams to ensure system designs align with functional requirements and documented architecture guidelines.
• Assist in evaluating technologies, tools, and frameworks used within assigned systems to support modernization and optimization efforts.
• Coordinate with offshore and cross‑functional delivery teams to support execution of defined technical tasks, priorities, and delivery timelines.
• Monitor system behavior and data flows during deployment and production support, and analyze and resolve issues related to performance, availability, or data quality.
• Maintain technical design documentation and adhere to established change management, governance, and escalation procedures.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior