Job Description Hybrid 3 days/week (Tues, Wed, Thurs) in Charlotte, NC / Hartford, CT Work with data transformation team to drive Snowflake data engineering post Oracle/Snowflake merge in commercial business portfolio End-to-end program and deployment support of Snowflake data management, preparing for Agentic/Gen AI chatbot builds Provide hands-on ETL tool expertise to junior engineers Build cloud environment compatible with Gen AI technologies (Langchain, Langgraph, CrewAI, etc.) 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 5+ years of experience as a Senior Data Engineer working in a Snowflake environment Extensive experience with ETL tools and cutovers CI/CD pipeline and DevOps deployment experience for end-to-end support Strong AWS cloud engineering background, with exposure to GCP Exposure to Agentic AI/Gen AI build outs (chatbots, remote agents, etc.) Property & Casualty insurance industry alignment (policy center, underwriting, etc.) Oracle database exposure