Role: Sr. Fabric Data Engineer Engagement Type: Contract-to-Hire (C2H – 3 Months) Work Location: Remote (EST time zone) Start: Immediate / ASAP
We are seeking a highly skilled Senior Data Engineer with strong expertise in Microsoft Fabric to design, build, and optimize modern data pipelines and analytics platforms. This role will work across Fabric's unified ecosystem—including Data Factory, Lakehouse, Data Warehouse, OneLake, and Power BI—to deliver scalable, governed, and high-performance data solutions. The ideal candidate will have hands-on experience migrating legacy Azure or on-prem data platforms to Fabric, implementing Medallion architecture, and collaborating closely with analytics and business stakeholders.
Key Responsibilities Data Engineering & Architecture
Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric.
Ingest, transform, and model data using Fabric Data Factory (Pipelines) and Dataflows Gen2.
Build and manage Lakehouses, Data Warehouses, and OneLake for scalable analytics.
Partner with analytics and business teams to design Power BI semantic models.
Support high-performance reporting through optimized datasets and models.
Enable downstream analytics through clean, well-modeled data layers.
Governance, Performance & Optimization
Implement data governance, security, lineage, and compliance best practices.
Optimize Fabric workloads for performance and cost efficiency.
Monitor and troubleshoot pipelines using Fabric monitoring tools.
Integration & Automation
Integrate Fabric with other Microsoft services:
Azure Synapse
Azure Data Lake
Power Platform
Automate data quality checks and validation using:
Fabric Notebooks (Python / Spark)
Data Activator
Support migration from Azure Synapse, Databricks, or SQL Server to Fabric.
Required Skills & Experience
Strong hands-on experience with Microsoft Fabric:
Data Factory (Fabric Pipelines)
Lakehouse
Data Warehouse
OneLake
Power BI
Advanced proficiency in SQL, Python, and Spark
Experience with ETL / ELT, data modeling, and performance tuning
Solid understanding of Medallion architecture
Experience with Azure Data Services (Data Lake, Synapse, ADF v2)
Knowledge of data governance, lineage, and security
Experience with Git and CI/CD for data pipelines
Hands-on experience with Power BI datasets, semantic models, and DAX (preferred)
Preferred Qualifications
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Experience migrating Azure data ecosystems to Fabric
Exposure to real-time analytics / event-driven data
Experience preparing ML datasets using Fabric Notebooks
Recruiter Submission Template –
Full Name: Highest Degree (Field, Institution & Completion Year): Total Years of Data Engineering Experience: Total Years of Experience with Microsoft Fabric (Required): Hands-on experience with Microsoft Fabric components (Yes/No):
Data Factory / Fabric Pipelines:
Dataflows Gen2:
Lakehouse:
Data Warehouse:
OneLake:
Experience designing end-to-end data pipelines in Microsoft Fabric: Experience ingesting and transforming data from multiple sources: Experience building and managing Lakehouses and Warehouses: Understanding of Medallion Architecture (Bronze–Silver–Gold): Experience with Power BI datasets and semantic models: Experience with DAX (Yes/No): Experience collaborating with business/analytics teams: Experience with Azure Data Services (Yes/No):
Azure Data Lake:
Azure Synapse:
Azure Data Factory v2:
Experience integrating Fabric with other Microsoft services: Experience implementing data governance, lineage, and security (Yes/No): Experience automating data quality checks using Fabric Notebooks (Python/Spark) or Data Activator (Yes/No): Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) (Yes/No): Motivation for Interest in This Position: Contact Number: Email ID: LinkedIn Profile URL: Full Address (Street, City, State, Zip): Notice Period (in weeks): Current Work Authorization Status: Expected Hourly Rate on W2: Earliest Interview Availability: Earliest Start Date:
