Data Engineer

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 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:

Skills and Requirements

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