Lead Data Engineer

About the Role

This role supports enterprise data management and platform modernization, with a hands-on focus on data integration, storage, governance, and performance optimization. The Lead Data Engineer works primarily as an individual contributor while providing 10-15% support and guidance to the team.

The role centers on migrating and optimizing data workloads in Microsoft Fabric and Azure, supporting analytics modernization and increased project volume.

Responsibilities

• Designing scalable data solutions
• Managing data pipelines and lifecycle processes
• Optimizing Fabric notebooks and deployments
• Supporting high availability and recovery strategies
• Implementing governance and security standards
• Collaborating across technical teams
• Monitoring and tuning performance
• Maintaining documentation
• Providing technical review and team support

Required Skills & Experience

• 6-7+ years in data engineering or data management/analysis
• Bachelors degree in Computer Science, Information Technology, or a related field
• Hands-on with Microsoft Fabric, Azure, Python, SQL, and CI/CD
• Experience supporting data pipelines, performance tuning, and deployments
• Working knowledge of security, backup, and high availability
• Able to manage multiple projects

Nice to Have Skills & Experience

• Healthcare or payer environment experience
• Epic experience or certifications (Clarity, Caboodle, Cogito)

Benefits

• Medical, dental, and vision insurance
• HSA, FSA, and DCFSA account options
• 401k retirement account access with employer matching
• Paid sick leave and/or other paid time off as provided by applicable law