> Markdown version of [/jobs/ext/3787747-microsoft-fabric-developer](https://www.wearedevelopers.com/jobs/ext/3787747-microsoft-fabric-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Microsoft Fabric Developer - **Company:** RAPS Consulting Inc - **Location:** Newark, NJ, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Confluence, Software Documentation, Software Quality, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), SQL Databases, Azure Data Factory, Apache Spark, Microsoft Fabric, Integration Frameworks, Azure Synapse Analytics, Data Pipelines - **Published:** October 16, 2026 - **Apply:** https://www.dice.com/job-detail/69201c1a-8e28-4c2d-adfb-d2bbf481ffe0 ## About the Role Must-Have: * 10+ years of experience as a Data Engineer * Strong experience with Microsoft Fabric OR strong background in Azure Synapse Analytics with Azure data services * Hands-on experience with: SQL, Data Modeling, ETL / ELT Pipelines * Experience with Spark notebooks and pipelines or Python experience for data engineering use cases * Proven ability to design and orchestrate scalable data solutions * Experience working in environments with CI/CD processes * Familiarity with enterprise documentation standards (e.g., Confluence) ## Description * Design, develop, and orchestrate end-to-end data pipelines using Microsoft Fabric * Build scalable and reusable data frameworks, including: * Config-driven pipeline architecture * Centralized configuration tables supporting multiple pipelines * Develop and maintain Spark notebooks and pipelines * Implement ETL/ELT processes using SQL, Spark, and Python * Perform data modeling and transformations for analytics and reporting * Collaborate with architectural and engineering teams to design robust solutions * Ensure adherence to enterprise standards including: * Confluence documentation * CI/CD pipelines * Code quality and deployment guidelines * Support deployments across multiple client environments * Own deliverables end-to-end with minimal supervision