Full-Time Microsoft Fabric Engineer
Data Piper is hiring a remote Full-Time Microsoft Fabric Engineer. The career level for this job opening is Experienced and is accepting Pleasanton, CA based applicants remotely. Read complete job description before applying.
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We are seeking a skilled and experienced Microsoft Fabric Engineer to join our data engineering team.
The ideal candidate will have a strong background in designing, developing, and maintaining data solutions using Microsoft Fabric, including experience across key workloads such as Data Engineering, Data Factory, Data Science, Real-Time Analytics, and Power BI.
This role requires a deep understanding of Synapse Data Warehouse, OneLake, Notebooks, Lakehouse architecture, and Power BI integration within the Microsoft ecosystem.
Key Responsibilities:
- Design and implement scalable and secure data solutions using Microsoft Fabric.
- Build and maintain Data Pipelines using Dataflows Gen2 and Data Factory (Fabric).
- Work with Lakehouse architecture and manage datasets in OneLake.
- Develop and optimize notebooks (PySpark or T-SQL) for data transformation and processing.
- Collaborate with data analysts and business users to create interactive dashboards and reports using Power BI (within Fabric).
- Leverage Synapse Data Warehouse and KQL databases for structured and real-time analytics.
- Monitor and optimize performance of data pipelines and queries.
- Ensure data quality, security, and governance practices are adhered to.
- Stay current with Microsoft Fabric updates and roadmap, recommending enhancements or best practices.
Required Skills and Qualifications:
- 3+ years of hands-on experience with Microsoft Fabric or similar tools in the Microsoft data stack.
- Strong proficiency with: Data Factory (Fabric), Synapse Data Warehouse / SQL Analytics Endpoints, Power BI integration and DAX, Notebooks (PySpark, T-SQL), Lakehouse and OneLake.
Solid understanding of data modeling, ETL/ELT processes, and real-time data streaming.
Experience with KQL (Kusto Query Language) is a plus.
Familiarity with Microsoft Purview, Azure Data Lake, or Azure Synapse Analytics is advantageous.