Director, Client Data Engineering
Core
Leading a globally distributed team of data engineering professionals to drive successful client implementations and scale high-quality data engineering practices for health plans.
Role type
Director, Client Data Engineering
Builds
Client implementations of healthcare data platforms enabling GenAI use cases, automation, and decision workflows.
Domain
Healthcare / Health Plans / Data Engineering
Required skills
Data engineering leadership, ETL workflow design, data integration, Python, PySpark, Advanced SQL, AWS architecture, Databricks, Snowflake, Git/GitHub, Global team management, Performance metrics tracking
Preferred skills
Healthcare analytics domain knowledge, Machine learning concepts, Data visualization (Tableau/Power BI), DevOps/CI/CD practices
Technologies
Python, PySpark, SQL, AWS, Databricks, Snowflake, GitHub, GitLab
Responsibilities
Lead end-to-end client implementations ensuring timely and high-quality delivery; Provide technical leadership across ETL, data mapping, and integration workflows; Optimize CMS Interoperability and implementation processes; Manage and coordinate offshore and distributed teams; Coach and develop engineering talent; Own operational execution including resource planning and prioritization; Set and track team performance metrics; Encourage adoption of new tools and technologies.
Seniority
Director, hands-on leadership