Senior Data Engineer

• Design and maintain data pipelines using Fabric Data Factory, Dataflow Gen2, and Notebooks (Python, Spark, SQL)
• Architect Data Warehouses and Lakehouse using Medallion Architecture (Bronze, Silver, Gold)
• Build Power BI semantic models and datasets using DAX and Power Query
• Deploy and monitor pipelines with CI/CD in Azure DevOps or GitHub Actions
• Partner with teams across Finance, HR, Client Growth, and Operations

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 View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:


Required Skills & Experience
• 2 years of hands-on experience in Microsoft Fabric
• Ex: Data Factory, Dataflow Gen2, Notebooks, Warehouse, Lakehouse
• Strong SQL, Python, DAX, and Power Query skills
• Data Mesh and Medallion Architecture experience
• Understanding of the bronze, silver, and gold layers
• Azure cloud base
• Experience in a migration TO Microsoft Fabric
• DevOps / Agile mindset with CI/CD pipeline experience
• Bachelor's in CS, IS, Data Engineering
• Or 10 equivalent yrs experience


Nice to Have Skills & Experience
• PowerBI - dashboarding
• Pipelining experience
• Microsoft Fabric or Azure Data Engineer certifications
• Real-time analytics
• AI/ML data prep experience


Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.