Job Description
This Data Engineer will serve as the technical owner of the data ingestion and transformation platform supporting a large-scale Dynamics 365 financial system implementation. The individual will be responsible for building and maintaining Microsoft Fabric Lakehouse pipelines, managing Dataverse/Fabric Link integrations, and ensuring enterprise data flows reliably from source systems into reporting environments. The role requires hands-on expertise with data pipeline development, monitoring, data quality validation, and Azure-based analytics technologies. This person will work closely with Business Data Analysts and BI teams to deliver scalable, well-governed data solutions that power mission-critical reporting and analytics across the organization.
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.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
4+ years of Data Engineering experience in production environments
Strong Microsoft Fabric experience (Lakehouse, Bronze/Silver/Gold architecture)
Experience building and maintaining data pipelines using Fabric Data Factory, Spark, or Fabric-native tools
Strong SQL skills for data validation, reconciliation, and troubleshooting
Experience with data quality testing, monitoring, and alerting
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.