Azure Data Engineer + Microsoft Fabric

Lansing, MI, US • Posted 60+ days ago • Updated 1 day ago
Contract Independent
Contract W2
Contract Corp To Corp
6 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Microsoft Fabric
  • Data Lake
  • F2F interview to MI
  • NO SPONSORSHIP AVAILABLE. ONLY FOR PERMANENT RESIDENTS.

Summary

Onsite role from day one to Lansing, MI. F2F INTERVIEW REQUIRED. NO SPONSORSHIP AVAILABLE. ONLY FOR PERMANENT RESIDENTS.

Key Responsibilities:
  • Develop and optimize T-SQL, Python, and PySpark code.
  • Build and maintain data pipelines using Microsoft Fabric or Azure Data Factory. Design and maintain data models using Medallion architecture.
  • Develop solutions using Microsoft Fabric components, including Data Warehouse and Spark. Use GitHub for source control. Leverage AI tools (e.g., Claude Code) to improve development productivity. Support Power BI semantic models and reporting needs. Mentor junior team members.
Required Skills
  • Overall 10+ years of exp Strong experience Data Engineering
  • Strong exp with T-SQL.
  • Proficient with Python or PySpark.
  • 2+ years of experience with Microsoft Fabric Pipelines or Azure Data Factory.
  • 5+ years of experience in enterprise data modeling.
  • Working knowledge of Data Vault 2.0 data modeling and integration methodology.
  • Basic understanding of AI-assisted software development.
Preferred Qualifications
  • Experience supporting Power BI semantic models and enterprise reporting.
  • Exposure to CI/CD practices and deployment automation.
  • Experience working in Agile development environments.
  • Previous experience mentoring or leading technical team members.
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: 10451973
  • Position Id: 8996075
  • Posted 30+ days ago
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