CBTS

Senior Data Engineer with MS Fabric Experience(no Third Party, CTH, Only W2)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with MS Fabric experience, offering a contract length of "unknown" at a pay rate of $70 - $75/hour on W2. Requires 5+ years in Data Engineering, strong Azure and SQL skills, and Agile experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
600
-
🗓️ - Date
July 23, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Cincinnati, OH
-
🧠 - Skills detailed
#Azure #Python #Data Integration #Data Pipeline #Azure ADLS (Azure Data Lake Storage) #Data Governance #Data Warehouse #Security #Cloud #BI (Business Intelligence) #PySpark #Microsoft Power BI #Visual Studio #Deployment #ADF (Azure Data Factory) #Agile #Storage #ML (Machine Learning) #Spark (Apache Spark) #Data Engineering #Data Lake #SQL (Structured Query Language) #Automation #Azure Repos #DevOps #Synapse #Azure DevOps #Azure cloud #Compliance #ADLS (Azure Data Lake Storage) #Oracle #Azure Blob Storage
Role description
Job Details: Pay Rate: $70 - $75/hour on W2 Must Have Skills: • Deep experience with Microsoft Fabric OneLake, Data Warehousing, Data Engineering, Data Integration, Medallion Lakehouse Architecture, Data Product Design Patterns, and Deployment strategies within the Fabric ecosystem. • Experience with Microsoft VS Code, Visual Studio, Azure DevOps, Azure Repos, ADF, Azure Blob Storage, Azure Data Lake Storage Gen2, Fabric, Lakehouse, Warehouse, Eventhouse, Pipelines, Spark Notebooks, Synapse, SQL/T-SQL, Power BI. • Knowledge of any of the following would be a plus: MS Purview, Fabric ML, Oracle Fusion ERP, EPM, CPQ, OTM, SplashBI. • Fabric Engineer - migrate data to Azure • ADO, Devop repo, CI/CD, Python • Code automation (Claude code) Qualifications: • 5+ years of experience in Data Engineering or Data Platform Engineering • Strong experience with Azure cloud data services and Microsoft Fabric • Experience building enterprise-scale data pipelines and data warehouse solutions • Strong SQL and Python/PySpark development skills • Experience with dimensional modeling and enterprise reporting frameworks • Experience integrating ERP and operational systems into centralized data platforms • Understanding of data governance, security, and compliance best practices • Experience working in Agile delivery environments