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Data Engineer (Microsoft Fabric)- Remote- 6 Months

Palni IncUnited States🇺🇸United StatesPosted Oct 1, 2026

Why This Role Stands Out

This remote contract role offers a fantastic opportunity to become a key player in migrating a data platform to cutting-edge Microsoft Fabric, providing significant experience with modern data architecture. You'll thrive here if you're a seasoned Azure Data Engineer eager to deepen your expertise in Spark, PySpark, and the full Microsoft Fabric ecosystem, making impactful contributions from day one.

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
18 hours ago
SQLSQL ServerETLAzureData PipelineGitPower BI

Job Description

Microsoft Fabric Data Engineer

Location: Remote
Employment Type: 6 Months Contract
Job Summary
We are seeking an experienced Microsoft Fabric Data Engineer to help migrate an existing SQL-based data platform to Microsoft Fabric. The role will focus on building scalable data pipelines, implementing a Medallion Architecture, and developing analytics-ready data solutions using Fabric, OneLake, Spark, and Fabric Warehouse.
Key Responsibilities
  • Migrate data from Azure SQL, SQL Server, and legacy ETL platforms to Microsoft Fabric.
  • Develop and manage data pipelines using Fabric Data Factory.
  • Build Bronze, Silver, and Gold layers using Lakehouse and OneLake.
  • Develop data transformations using PySpark and SQL.
  • Design and optimize Fabric Data Warehouse solutions.
  • Implement incremental loads, CDC, partitioning, and performance optimization.
  • Ensure data quality, reliability, and consistency across pipelines.
  • Support RBAC, workspace security, data governance, lineage, and Microsoft Purview.
  • Implement CI/CD for Fabric artifacts using Git and Azure DevOps.
  • Collaborate with BI teams, architects, administrators, and business stakeholders.
  • Provide production support and troubleshoot data pipeline issues.
Required Skills
  • 5+ years of experience in Azure Data Engineering.
  • Strong hands-on experience with Microsoft Fabric.
  • Expertise in Fabric Data Factory, OneLake, Lakehouse, Spark/PySpark, and Fabric Warehouse.
  • Strong SQL and relational database experience.
  • Experience with ETL/ELT, data migration, and modern data architecture.
  • Understanding of Medallion Architecture and cloud data platforms.
  • Experience with Git/Azure DevOps and CI/CD.
Preferred Skills
  • Power BI and data modeling.
  • Microsoft Purview and data governance.
  • CDC or streaming technologies.
  • Microsoft Fabric / Azure Data Engineer certification.

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