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