W2 Contract - Sr. Data Engineer - MS Fabric, Azure

Hybrid in Chicago, IL, US • Posted 16 hours ago • Updated 14 hours ago
Contract Independent
Contract W2
12 Months
Travel Required
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • ADF
  • ELT
  • Machine Learning Operations (ML Ops)
  • Microsoft SQL Server
  • Microsoft SSIS
  • SQL Azure
  • SQL
  • Performance Tuning
  • Microsoft
  • Data Engineering
  • Apache Spark
  • Data Security
  • Data Flow
  • Data Modeling
  • PySpark
  • Microsoft Azure
  • lakehouse
  • onelake

Summary

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
o 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:
o Azure Data Factory (ADF)
o MS Fabric Data pipeline
o Dataflow gen 2
o SSIS (on-prem, Azure-SSIS IR, and migration scenarios)
• Implement data modeling patterns:
o Medallion (Bronze / Silver / Gold)
o Dimensional modeling (Star/Snowflake)
o Different data file management experience – Parquet, JSON, XML
• Integrate Microsoft Purview for:
o Data cataloging & classification
o Automated data lineage (ADF, Fabric, SQL, ADLS)
• Enforce data security and access controls:
o RBAC, column-level security, masking
o 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

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10217521
  • Position Id: 8979692
  • Posted 16 hours ago
Contact the job poster
Pradeep Poojary

Pradeep Poojary

Technical Recruiter @ Ztek Consulting
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