Data Engineer-Microsoft Fabric

About The Job:

• The Data Engineer will support CDW’s enterprise data and analytics initiatives by designing, building, and
• maintaining reliable and scalable data pipelines within the Azure and Microsoft Fabric ecosystem.
• This role focuses on ingesting, transforming, and delivering curated data to support analytics, reporting, and data science use casesacross the organization.
• The ideal candidate is execution-focused, comfortable working within established architectures and standards, and
• experienced collaborating with onshore teams to deliver production-quality data solutions.

Essential Job Functions:

• Design, develop, and maintain data ingestion and transformation pipelines using Fabric Data Factory.
• Integrate source systems into the Enterprise Data Lake / Fabric Lakehouse following established data engineering standards and best practices.
• Support the preparation of curated datasets optimized for business intelligence, analytics, and data science use cases.
• Collaborate with onshore data engineers, analysts, and architects to implement data models, transformations, and delivery patterns.
• Monitor, troubleshoot, and optimize data pipelines to ensure reliability, performance, and operational stability.
• Document data pipelines, transformations, and operational procedures to support maintainability and knowledge transfer.
• Follow CI/CD, version control, and deployment practices to support promotion of data pipelines from development through production environments.
• Participate in code reviews and peer collaboration to ensure quality and consistency across solutions.
• Stay current on evolving Azure and Fabric capabilities and apply learnings as directed within the enterprise architecture.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.
• 2-4 years of hands-on experience building data pipelines using Microsoft Fabric.
• Foundational understanding of data warehousing concepts, data modeling, and ETL/ELT patterns.
• Experience working with SQL and structured data transformations.
• Ability to follow defined architectures, standards, and engineering best practices.
• Strong problem-solving skills with the ability to research and resolve technical issues with guidance.
• Clear written and verbal communication skills; ability to collaborate effectively with distributed, onshore teams.

Nice to Have

• Exposure to Microsoft Fabric (Lakehouse, Warehouse, Power BI integration).
• Experience supporting analytics or reporting workloads.
• Familiarity with DevOps pipelines, Git, or CI/CD practices.
• Prior experience working in an offshore or distributed delivery model.