Power BI & Fabric Developer / Senior Analytics Engineer (Hybrid Onsite)

Job Title : Power BI & Fabric Developer / Senior Analytics Engineer

Location: Quincy, MA (Hybrid 3/4 days a week onsite)

Duration : Long term contract

Contract: W2 / C2C

Job Description:

We are seeking a highly skilled Power BI & Fabric Developer / Senior Analytics Engineer to join our data team. This role is pivotal in designing, building, and managing our next-generation enterprise data solutions using the Microsoft Fabric ecosystem.

The ideal candidate is a technical powerhouse who understands the nuances of unified data platforms and can bridge the gap between complex data engineering and actionable business intelligence.

Core Responsibilities

• Architectural Design: Design and implement scalable, end-to-end data solutions using Microsoft Fabric, ensuring alignment with enterprise standards for security and performance.
• Data Engineering: Build and maintain robust Data Pipelines (Data Factory) and utilize Spark and SQL endpoints to process large-scale datasets.
• Lakehouse Management: Develop and optimize Lakehouse and Warehouse architectures, utilizing OneLake to create a single source of truth for the organization.
• Power Platform Integration: Seamlessly integrate Fabric data assets with the Power Platform (Power BI, Power Apps, and Power Automate) to drive data-driven decision-making and automation.
• Advanced Analytics: Leverage Fabric s advanced capabilities, including Synapse Real-Time Analytics and Machine Learning integration, to provide predictive insights.
• Governance & Optimization: Implement data governance best practices and monitor environment capacity to ensure cost-effectiveness and high availability.

Technical Qualifications

• Microsoft Fabric Expertise: Deep, hands-on experience with the Fabric workspace, including Lakehouses, Warehouses, and the Medallion architecture (Bronze/Silver/Gold).
• Data Integration: Proven track record of building complex ETL/ELT workflows using Data Factory (Pipelines & Dataflows Gen2).
• Advanced Power BI: Expert-level knowledge of DAX, Power Query, and DirectLake mode for high-performance reporting.
• Coding Proficiency: Strong command of SQL and Python (PySpark) for data transformation and analysis.
• Power Platform: Experience embedding Fabric data into Power Apps or triggering Power Automate flows based on data events.
• Cloud Ecosystems: Familiarity with Azure Data Lake Storage (ADLS Gen2), Azure SQL, and Entra ID (formerly Azure AD) security models.