Data Engineer

Data Engineer (Databricks/Azure) – Remote (Minneapolis, MN) 📍 Location: Minneapolis, MN (Remote )📄 Employment Type: W2 Onl y⏳ Contract Duration: Initial 6-Month Contract (High Possibility of Extension ) We are seeking an experienced Data Engineer to join our team and support the development of modern cloud-based data platforms. The ideal candidate will have strong expertise in Databricks, Azure Data Services, and scalable data pipeline developmen t. Key Responsibilit • iesDesign, develop, and maintain scalable data pipelines using Databricks, PySpark, and Pyth • on.Build and orchestrate workflows using Databricks Workflows and Azure Data Facto • ry.Develop and optimize config-driven data pipelines for enterprise-scale data processi • ng.Implement and support Databricks SQL solutions for reporting and analyti • cs.Create and maintain efficient Data Models, including Star Schema and Snowflake Sche • ma.Work with modern open table formats such as Delta Lake and Apache Icebe • rg.Leverage Databricks Genie for AI-driven insights and conversational analyti • cs.Utilize GitHub Copilot and other AI-assisted development tools to improve engineering productivi • ty.Support data virtualization strategies and enterprise data integration initiativ • es.Collaborate with business stakeholders, data architects, and analytics teams to deliver high-quality solutio ns. Required Sk • illsStrong hands-on experience w • ith:Databr • icksAzure Data Factory ( • ADF)Databricks Workf • lowsPyS • parkPy • thonDatabricks • SQLData Mode • lingExperience building config-driven ETL/ELT pipeli • nes.Expertise in Star Schema and Snowflake Schema des • ign.Experience with Delta Lake and/or Apache Iceb • erg.Strong understanding of cloud-based data engineering, preferably on Microsoft Az • ure.Experience with data virtualization concepts and implementat ion.