Lead Data Engineer/Analyst

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 include 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, and providing technical review and team support.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

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