Azure Data Factory Engineer at Brown & Brown

This role is ideal for an early-to-mid-career data professional with 1–3 years of experience who is ready to specialize in the Azure ecosystem. If you have a solid foundation in T-SQL and a background in Computer Science or Business Systems, this position offers a clear path into cloud-native data engineering within a large-scale corporate environment. The position is based on-site in Milwaukee and offers a robust "Total Well-Being" package. Standout perks include the Employee Stock Purchase Plan (ESPP), student loan assistance, and tuition reimbursement, making it an excellent choice for someone looking to build long-term financial stability while continuing their professional education. **You might be a good fit if you...** * Are proficient in T-SQL and building data pipelines or semantic models. * Have hands-on experience or strong familiarity with Azure Data Factory and Data Lake. * Enjoy "meritocracy" cultures where self-starters are rewarded with more autonomy. * Have a baseline understanding of DevOps principles, Git, or VS Code for automation.