Senior Data Engineer (Contract) — SQL & Fabric AI Analytics

ManpowerGroup Global, Inc.

Minneapolis (MN)

On-site

USD 120,000 - 160,000

Full time

2 days ago
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Job summary

Experis is seeking an Engineer 5 - Contingent to join the Data Engineering Department in Minneapolis, MN. You will design, develop, and optimize data ingestion, ETL/ELT pipelines, and data models powering Power BI and AI workflows, using SQL Server and Microsoft Fabric.

The role emphasizes scalable analytics, performance tuning, and collaboration within a dynamic team. Able to adapt to evolving data challenges, you will contribute to AI-driven analytics and accelerate data development with

Qualifications

  • 7+ years of data engineering or related experience.
  • Advanced SQL development with Microsoft SQL Server.
  • Hands-on with cloud data platforms, especially Microsoft Fabric.
  • Strong enterprise data modeling knowledge (Medallion) and repository standards.
  • Experience integrating Excel, APIs, files, and web data sources.

Responsibilities

  • Design, develop, and implement scalable data ingestion, transformation, and integration solutions using SQL Server and Fabric.
  • Create reusable ETL/ELT pipelines to central data stores.
  • Optimize SQL queries and data processing for performance and reliability.
  • Develop enterprise data models for Power BI, Excel, and AI-driven analysis.
  • Utilize AI tools to accelerate data analysis, code development, and documentation.

Skills

SQL development
SQL Server
Cloud platforms
Microsoft Fabric
Data modeling
ETL/ELT
Excel data
APIs
Web data
Medallion model

Tools

Power BI
Microsoft Fabric

Job description

Experis is seeking an Engineer 5 - Contingent to join the Data Engineering Department in Minneapolis, MN. You will design, develop, and optimize data ingestion, ETL/ELT pipelines, and data models powering Power BI and AI workflows, using SQL Server and Microsoft Fabric.

The role emphasizes scalable analytics, performance tuning, and collaboration within a dynamic team. Able to adapt to evolving data challenges, you will contribute to AI-driven analytics and accelerate data development with

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