Remote Position
Microsoft Fabric Data Engineer - Healthcare (Fully Remote)
🌍 Remote · United States
💼 Full-time
Microsoft Fabric Data Engineer Experience: 5-10 Years (5+ years with Azure / Microsoft Fabric required) Location: USA (Remote) Employment Type: Contract
Key Responsibilities
Data Migration & Engineering
- Migrate data from Azure SQL databases and legacy ETL pipelines into Microsoft Fabric.
- Redesign ETL processes and rebuild using Fabric capabilities.
- Implement Medallion architecture (Bronze, Silver, Gold).
- Design and Develop efficient ingestion, transformation, and orchestration pipelines.
Fabric Data Development
- Build and manage pipelines using Fabric Data Factory.
- Develop transformations using Spark notebooks (PySpark/SQL).
- Create and model Fabric Warehouses.
- Work with OneLake for unified storage and data access.
Performance & Optimization
- Optimize Spark jobs, pipelines, and warehouse queries for performance.
- Implement partitioning, incremental loads, and CDC patterns.
- Ensure data quality, consistency, and reliability.
Security & Governance
- Work with Fabric administrators on RBAC, workspace design, and data access controls.
- Apply data governance standards including naming conventions, lineage, and metadata.
- Support integration with Microsoft Purview.
DevOps & Automation
- Implement CI/CD pipelines for Fabric artifacts using Git/Azure DevOps.
- Support environment promotion (Dev → Test → Prod).
- Automate deployments and data validation checks.
Collaboration & Support
- Collaborate with BI teams to enable Power BI semantic models and reporting.
- Work with stakeholders to understand data requirements and SLAs.
- Provide production support and troubleshooting.
Required Skills & Qualifications Technical Skills
- Strong experience in data engineering using Microsoft Azure.
- Hands-on experience with Microsoft Fabric, including:
- Fabric Data Factory
- Lakehouse & OneLake
- Spark / Notebooks
- Fabric Data Warehouse
- Experience with Azure SQL, SQL Server, and relational databases.
- Strong SQL and PySpark skills.
- Knowledge of modern data architectures (Lakehouse, ELT, Medallion).
- Experience with data migration and modernization projects.
Preferred / Nice-to-Have Skills
- Power BI (data modeling, performance tuning).
- Microsoft Purview / data governance tools.
- CDC, event-driven ingestion, or streaming experience.
- Fabric or Azure Data Engineer certifications.
Soft Skills
- Strong analytical and problem-solving skills.
- Ability to work in agile delivery models.
- Clear communication with technical and non-technical stakeholders.
- Ownership mindset for data reliability and quality.
Key Deliverables
- Successfully migrated data platform from Azure SQL + ETL to Microsoft Fabric.
- Scalable and performant Fabric data pipelines.
- Analytics-ready datasets supporting enterprise reporting and insights