About this role
Data Engineer at Continental Services. Location: Sterling Heights or Troy. Role: building pipelines, maintaining models, ensuring quality Requirements: Bachelor's degree in a technical field, 3+ years data engineering experience, hands-on Microsoft Azure and Microsoft Fabric (Data Factory, Functions, Synapse, Lakehouse), strong SQL and Python, PowerBI modeling, data governance, AI integration, and enterprise system integration experience. Category: Data and Analytics Seniority: Mid Level Tools: Microsoft Azure, Microsoft Fabric, Azure Data Factory, Azure Functions, Azure Synapse, Lakehouse, AWS, SQL, Python, PowerBI Commitment: Full Time Workplace: Hybrid Languages: English