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W2 Contract - Sr. Data Engineer - MS Fabric, Azure
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a W2 Contract - Sr. Data Engineer in Chicago, IL (Hybrid - 2 days onsite) for 10+ years of experience. Key skills include MS Fabric, Azure Data Factory, PySpark, MLOps, and data security with Microsoft Purview. Pay rate is "$$$".
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 27, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Chicago, IL
-
🧠 - Skills detailed
#SQL Server #Migration #Data Processing #Security #Data Modeling #SQL (Structured Query Language) #Data Security #PySpark #Azure #"ETL (Extract #Transform #Load)" #Infrastructure as Code (IaC) #Azure SQL #Dataflow #ADLS (Azure Data Lake Storage) #AI (Artificial Intelligence) #Data Catalog #Compliance #ADF (Azure Data Factory) #Scala #Spark (Apache Spark) #Data Pipeline #Consulting #Classification #XML (eXtensible Markup Language) #SSIS (SQL Server Integration Services) #Data Lineage #Azure SQL Database #BI (Business Intelligence) #Snowflake #Azure Data Factory #Data Engineering #JSON (JavaScript Object Notation)
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Ztek Consulting, is seeking the following. Apply via Dice today!
Work Authorization: , , and EADs (Independent Visa who can work on a W2)
Job Role : Sr. Data Engineer – MS Fabric, Azure
Location : Chicago, IL (Hybrid - 2 day onsite)
Mode of interview : Video Interview
Years of experience: 10+ years
Job Roles/Responsibilities:
Job Title - Sr. Data Engineer – MS Fabric, Azure
Job Description
Core Responsibilities
• Design and build end-to-end data platforms using Microsoft Fabric
• Lakehouse, Warehouse, OneLake, Dataflows Gen2
• Develop and optimize Spark workloads using PySpark and SparkSQL
• Develop MLOps pipelines for Advanced Analytics & AI
• Build scalable ETL/ELT pipelines using:
• Azure Data Factory (ADF)
• MS Fabric Data pipeline
• Dataflow gen 2
• SSIS (on-prem, Azure-SSIS IR, and migration scenarios)
• Implement data modeling patterns:
• Medallion (Bronze / Silver / Gold)
• Dimensional modeling (Star/Snowflake)
• Different data file management experience – Parquet, JSON, XML
• Integrate Microsoft Purview for:
• Data cataloging & classification
• Automated data lineage (ADF, Fabric, SQL, ADLS)
• Enforce data security and access controls:
• RBAC, column-level security, masking
• Fabric & Purview policy alignment
• Optimize performance, reliability, and cost across Fabric capacities
• Implement CI/CD and IaC for data pipelines and governance artifacts
• Partner with security, compliance, and BI teams to ensure trusted data delivery
Required Technical Skills
Microsoft Fabric (Must-Have)
• Fabric Data Engineering workloads
• Lakehouse & Warehouse
• OneLake architecture
• Fabric pipelines & notebooks
• Capacity planning and performance optimization
• Advanced PySpark (joins, windows, UDFs, optimization)
• Strong SparkSQL
• Strong MLOps & Feature Engg.
• Partitioning strategies, shuffle tuning, caching
• Large-scale data processing (TB+)
Azure Data Platform
• Azure SQL Database / SQL Server
• Azure Data Factory (ADF)
• SSIS / Azure-SSIS Integration Runtime
• ADLS Gen2
Data Lineage & Security (Microsoft Purview)
• Purview data catalog & scanning
• Automated lineage across ADF, Fabric, SQL, ADLS
• Business glossary management
• Integration with Azure RBAC & security policies
Faizan Shaikh
(678) 535-7175
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Ztek Consulting, is seeking the following. Apply via Dice today!
Work Authorization: , , and EADs (Independent Visa who can work on a W2)
Job Role : Sr. Data Engineer – MS Fabric, Azure
Location : Chicago, IL (Hybrid - 2 day onsite)
Mode of interview : Video Interview
Years of experience: 10+ years
Job Roles/Responsibilities:
Job Title - Sr. Data Engineer – MS Fabric, Azure
Job Description
Core Responsibilities
• Design and build end-to-end data platforms using Microsoft Fabric
• Lakehouse, Warehouse, OneLake, Dataflows Gen2
• Develop and optimize Spark workloads using PySpark and SparkSQL
• Develop MLOps pipelines for Advanced Analytics & AI
• Build scalable ETL/ELT pipelines using:
• Azure Data Factory (ADF)
• MS Fabric Data pipeline
• Dataflow gen 2
• SSIS (on-prem, Azure-SSIS IR, and migration scenarios)
• Implement data modeling patterns:
• Medallion (Bronze / Silver / Gold)
• Dimensional modeling (Star/Snowflake)
• Different data file management experience – Parquet, JSON, XML
• Integrate Microsoft Purview for:
• Data cataloging & classification
• Automated data lineage (ADF, Fabric, SQL, ADLS)
• Enforce data security and access controls:
• RBAC, column-level security, masking
• Fabric & Purview policy alignment
• Optimize performance, reliability, and cost across Fabric capacities
• Implement CI/CD and IaC for data pipelines and governance artifacts
• Partner with security, compliance, and BI teams to ensure trusted data delivery
Required Technical Skills
Microsoft Fabric (Must-Have)
• Fabric Data Engineering workloads
• Lakehouse & Warehouse
• OneLake architecture
• Fabric pipelines & notebooks
• Capacity planning and performance optimization
• Advanced PySpark (joins, windows, UDFs, optimization)
• Strong SparkSQL
• Strong MLOps & Feature Engg.
• Partitioning strategies, shuffle tuning, caching
• Large-scale data processing (TB+)
Azure Data Platform
• Azure SQL Database / SQL Server
• Azure Data Factory (ADF)
• SSIS / Azure-SSIS Integration Runtime
• ADLS Gen2
Data Lineage & Security (Microsoft Purview)
• Purview data catalog & scanning
• Automated lineage across ADF, Fabric, SQL, ADLS
• Business glossary management
• Integration with Azure RBAC & security policies
Faizan Shaikh
(678) 535-7175






