Microsoft Fabric Data Engineer

Insight Global
Waltham, MA, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$145,600.0 - $176,800.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Microsoft Azure Big Data Continuous Integration Data Architecture Information Engineering Data Governance Data Infrastructure Extract Transform Load (ETL) Data Transformation Python (Programming Language) SQL Databases
+13 more
Enterprise Data Management Data Ingestion Azure Data Factory Sql Optimization Apache Spark Git Microsoft Fabric Data Lakes Pyspark Deployment Automation Azure Synapse Analytics Data Pipelines Sql Tuning

Job description

Our Pharma client is seeking a hands-on Microsoft Fabric Data Engineer to support a large-scale data modernization initiative focused on Patient Services. This individual will play a key role in migrating existing data assets into Microsoft Fabric and building scalable, enterprise-grade data pipelines that enable analytics, reporting, and AI-driven initiatives. The ideal candidate has recent experience working within Microsoft Fabric, strong expertise with OneLake and Data Lake architectures, and a proven track record designing modern data platforms using PySpark and Medallion Architecture principles. Responsibilities * Design, develop, and maintain scalable data pipelines in Microsoft Fabric. * Build and optimize solutions using OneLake, Lakehouse, Warehouse, Data Factory, SQL, and PySpark. * Lead data ingestion, transformation, and migration efforts into Microsoft Fabric. * Design and implement Medallion Architecture (Bronze, Silver, Gold) data models. * Develop reusable ingestion frameworks and incremental processing solutions. * Optimize Spark workloads, Fabric capacity, SQL performance, and overall platform efficiency. * Implement data quality, monitoring, reconciliation, lineage, and governance controls. * Support CI/CD processes, automated deployments, and production operations. * Partner closely with business stakeholders, analytics teams, and data platform teams to translate requirements into scalable data solutions. * Troubleshoot complex production issues and ensure platform reliability and operational readiness.

Requirements

  • 7+ years of Data Engineering experience. * Hands-on Microsoft Fabric experience with production implementations. * Strong experience with OneLake, Lakehouse architecture, and enterprise Data Lake solutions. * Advanced SQL and Python/PySpark expertise. * Experience designing and implementing Medallion Architecture (Bronze/Silver/Gold). * Experience developing scalable ETL/ELT pipelines and data transformation frameworks. * Azure Synapse and/or Azure Data Factory experience. * Experience with CI/CD, Azure DevOps, Git, and deployment automation. * Excellent communication skills and ability to work directly with business stakeholders. * Experience leading or participating in Microsoft Fabric migration initiatives. * Experience optimizing Fabric performance, Spark workloads, and cost efficiency. * Data governance, lineage, security, and monitoring experience. * Healthcare, life sciences, or regulated industry experience.

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