Job Title

Job Description Insight Global is seeking a Data Engineer with handsu2011on experience in Microsoft Fabric to design, build, and maintain a modern lakehouse platform. This individual will support the migration of legacy data pipelines into Fabric, develop scalable data models, and enable analytics and AIu2011driven use cases across the organization. The role involves building and managing Fabric Lakehouse architectures (Bronze, Silver, and Gold layers), integrating data from multiple enterprise sources into OneLake, and optimizing datasets for Power BI and Direct Lake reporting. This person will develop data transformations using SQL and Python, support both realu2011time and batch analytics workflows, enforce governance, security, and roleu2011based access controls, and partner closely with analytics, product, and business teams to deliver actionable insights, including support for Copilotu2011driven analytics experiences. This is a 6-month ongoing contract and pays $65-$70hr. 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 learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements u2022 7+ years delivering enterprise data as a data engineer u2003u2022 2+ years of handsu2011on Microsoft Fabric experience, including: u2003u2003u25cb Fabric Lakehouse, Direct Lake architecture, Fabric Notebooks, Power BI semantic models u2003u2022 Built Fabric data pipelines supporting production reporting and AI scenarios u2003u2022 Centralized largeu2011scale telemetry and operational datasets into OneLake u2003u2022 Implemented Medallion architecture (Bronze, Silver, Gold layers) u2003u2022 Experience with Copilot + Fabric to automate insights and executive reporting u2003u2022 Strong background in SQL, Python, CI/CD, RBAC, and data governance Ability to work crossu2011functionally with product, analytics, and business stakeholder Designed realu2011time Power BI dashboards on Fabric datasets