Job Description Insight Global is seeking a highly skilled Senior Data Engineer with deep, hands‑on expertise in Databricks, Python, and PySpark. This role requires someone who can immediately deliver impact in a fast‑paced, “hit the ground running” environment. The core responsibilities include migrating existing SQL processes into Databricks, ensuring they run quickly and reliably, and then rebuilding those workflows in clean, scalable PySpark. A key part of the role is also to mentor and upskill the internal team, enabling them to eventually own and maintain the full data engineering ecosystem. 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/. Skills and Requirements - 8+ years of experience working in data engineering - Proficiency in Databricks, Python and PySpark  • Immediate, senior‑level proficiency in Databricks, including workspace setup, clusters, notebooks, repos, and jobs  • Deep PySpark expertise — capable of building performant, scalable pipelines from day one  • Strong Python engineering skillset, with modular, production‑grade coding practices - Prior version control experience working in platforms such as GitHub or Bitbucket  • Hands-on experience with branching strategies, pull request workflows, code reviews  • Experience with automated CI/CD pipelines supporting Databricks or similar data platforms - Must have a proven history of high-velocity onboarding in complex environments and a demonstrated ability to teach while doing - Strong documentation and knowledge sharing - Skilled at writing runbooks, playbooks, data flow diagrams, wikis, and pipeline documentation in real time - Understanding of SQL Server and Stored Procedures to understand current state - Prior experience operationalizing Healthcare/Payer data  • Experience with CMS Stars, payer claims, eligibility, enrollment, risk adjustment, or other healthcare data domains - Familiarity with healthcare data quality challenges and regulatory nuances - Databricks Certified