Senior Fabric Engineer

Job Description Insight Global is seeking a Data Engineer with hands‑on 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 AI‑driven 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 real‑time and batch analytics workflows, enforce governance, security, and role‑based access controls, and partner closely with analytics, product, and business teams to deliver actionable insights, including support for Copilot‑driven 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 HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

• 7+ years delivering enterprise data as a data engineer
• 2+ years of hands‑on Microsoft Fabric experience, including: ○ Fabric Lakehouse, Direct Lake architecture, Fabric Notebooks, Power BI semantic models
• Built Fabric data pipelines supporting production reporting and AI scenarios
• Centralized large‑scale telemetry and operational datasets into OneLake
• Implemented Medallion architecture (Bronze, Silver, Gold layers)
• Experience with Copilot + Fabric to automate insights and executive reporting
• Strong background in SQL, Python, CI/CD, RBAC, and data governance Ability to work cross‑functionally with product, analytics, and business stakeholder Designed real‑time Power BI dashboards on Fabric datasets