Job Description The ideal candidate is a hands-on Data Engineer who has successfully delivered enterprise integration and reporting solutions using Databricks, Python, SQL Server, and Power BI. They are comfortable building data pipelines from scratch, troubleshooting complex data issues, and working closely with both technical and business teams. They understand how to migrate organizations from legacy systems to modern analytics platforms while creating scalable, reusable data assets that support long-term business transformation. 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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• 5+ years of Data Engineering experience in enterprise environments.
• Experience building and supporting ETL/ELT pipelines at scale.
• Experience integrating data from multiple source systems and business applications.
• Strong experience supporting reporting and analytics platforms.
• Experience working within data governance, security, and architecture standards.
• Experience documenting technical solutions and supporting production deployments.
• Experience with Kahua platform integrations.
• Experience with project management information systems (PMIS).
• Experience integrating data from SharePoint, Power Apps, and Prophix.
• Azure or AWS cloud platform experience.
• Power BI report development experience.
• CI/CD pipeline experience.
• Experience supporting data warehouse modernization initiatives.