Senior Data Engineer

Humana Inc. is a leading U.S. healthcare company that aims to help millions achieve their best health. They are seeking a Senior Data Engineer to design and maintain data processing architectures, leveraging AI and machine learning to transform data into actionable insights.

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

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