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Fabric Data Engineer Jobs in Michigan (NOW HIRING)

CFS

Senior Data Engineer

Lansing, MI

$125K - $155K/yr

Develop and optimize ETL/ELT workflows using Microsoft Fabric Data Factory. * Write advanced SQL ... Work closely with developers to structure data for efficient Power BI usage, including semantic ...

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code ... Experience: Proven experience in a data engineering or similar role, with specific experience ...

Agile Tech Labs

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Senior Data Engineer Job Location: Lansing, MI (Hybrid) Job Type: Contract / Requirement: * 3-7 ... Experience with Microsoft Fabric, Azure Data Factory, Azure SQL, SQL Server, or enterprise data ...

Global Information Technology

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Contract / Requirement: * 3-7 years of experience in Data Engineering, Business Intelligence, Data ... Experience with Microsoft Fabric, Azure Data Factory, Azure SQL, SQL Server, or enterprise data ...

Global Information Technology

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Contract / Requirement:3-7 years of experience in Data Engineering, Business Intelligence, Data ... Experience with Microsoft Fabric, Azure Data Factory, Azure SQL, SQL Server, or enterprise data ...

Expeditors

Data Engineer III/Senior (Analytics)

Romulus, MI · On-site

$102K - $138K/yr

The ideal candidate has strong expertise in data modeling, analytics engineering, Microsoft Fabric, Databricks, Python development, and modern business intelligence solutions. The successful ...

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All JobsFabric Data Engineer JobsFabric Data Engineer Jobs in Michigan

Fabric Data Engineer information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do fabric data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for fabric data engineer in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 per year, depending on experience, location, and employer.

What is a Fabric Data engineer?

Fabric Data Engineers are professionals who specialize in designing, building, and maintaining data solutions using Microsoft Fabric, an end-to-end analytics platform. They work with data integration, transformation, and storage, ensuring data is accessible and reliable for business intelligence and analytics. Their responsibilities often include setting up data pipelines, integrating multiple data sources, and optimizing data flows for performance and security. Fabric Data Engineers collaborate closely with data analysts, data scientists, and other IT teams to provide robust data infrastructure.

How does a Fabric Data engineer typically collaborate with data analysts and business stakeholders?

As a Fabric Data Engineer, you will regularly partner with data analysts and business stakeholders to understand data requirements, design efficient data pipelines, and ensure data is accessible and reliable for reporting and analytics. Collaboration often involves participating in planning meetings, translating business needs into technical data models, and providing support for troubleshooting data issues. Clear communication and a proactive approach are essential, as you'll be bridging technical solutions with business objectives within cross-functional teams.

What are the key skills and qualifications needed to thrive as a Fabric Data engineer, and why are they important?

To thrive as a Fabric Data Engineer, you need strong skills in data modeling, ETL development, and cloud data platforms, typically supported by a degree in computer science or a related field. Proficiency with Microsoft Fabric, Azure Synapse, SQL, Power BI, and data integration tools, as well as relevant certifications, is highly valuable. Excellent problem-solving, collaboration, and communication skills help bridge the gap between technical teams and business stakeholders. These competencies are crucial for designing efficient data solutions, ensuring reliable analytics, and supporting organizational decision-making.

What is the difference between Fabric Data Engineer vs Fabric Data Analyst?

AspectFabric Data EngineerFabric Data Analyst
CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization tools
Work EnvironmentBuilds and maintains data infrastructure in cloud or on-premise environmentsAnalyzes data, creates reports, and visualizations for business insights
Employer & Industry UsageUsed in tech, finance, and enterprise sectors for data engineering rolesCommon in marketing, finance, and business intelligence teams

Fabric Data Engineers focus on designing and maintaining data pipelines and infrastructure, ensuring data availability and quality. Fabric Data Analysts interpret this data, creating reports and visualizations to support decision-making. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Fabric Data Engineer jobs in Michigan?

For Fabric Data Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Fabric Data Engineer jobs in Michigan look for?

The top searched job categories for Fabric Data Engineer jobs in Michigan are:

What cities in Michigan are hiring for Fabric Data Engineer jobs?

Cities in Michigan with the most Fabric Data Engineer job openings:

Fabric Data Engineer jobs near you
Infographic showing various Fabric Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.

Senior Data Engineer

CFS

Lansing, MI

$125K - $155K/yr

Full-time

Medical, Retirement, PTO

Re-posted 14 days ago

Job description

Position: Senior Data Engineer
Salary: $125,000-$155,000
Benefits: Free Healthcare options, Retirement Plan w/ match, 3.5 Weeks PTO, etc.
Location: East Lansing, MI area (Onsite)
Why You Should Apply:
  • Outstanding culture with a family-oriented feel, where technology is highly valued.
  • Competitive compensation and benefits package with $0 cost healthcare options.
  • Work in a modern environment with the latest tools, collaborative spaces, and a strong focus on professional growth.
Summary of the Senior Data Engineer Role: We are seeking a Senior Data Engineer with strong SQL skills and hands-on experience working with enterprise data warehouse environments. This role will play a key part in building and maintaining scalable data solutions using Microsoft Fabric and Power BI. If you're passionate about transforming raw data into meaningful insights and enjoy collaborating across teams to support analytics initiatives, this could be a great fit.
Responsibilities of the Senior Data Engineer:
  • Build and maintain robust data pipelines for ingestion, transformation, and integration across diverse systems.
  • Develop and optimize ETL/ELT workflows using Microsoft Fabric Data Factory.
  • Write advanced SQL queries, stored procedures, and functions to support high-performance data operations.
  • Apply best practices in data modeling for enterprise-scale data warehouse environments.
  • Architect and manage data warehouse solutions using Microsoft Fabric’s Data Warehouse and OneLake.
  • Ensure consistency, reliability, and scalability of data across reporting and analytics platforms.
  • Work closely with developers to structure data for efficient Power BI usage, including semantic modeling and partitioning.
  • Collaborate with business analysts and stakeholders to gather requirements and deliver clean, actionable datasets.
  • Provide guidance on SQL optimization, data governance, and reporting standards.
Preferred Experience of the Senior Data Engineer:
  • Advanced SQL skills, including query tuning, indexing, and performance optimization.
  • Experience with enterprise data warehouse architecture and implementation.
  • Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI.
  • Solid understanding of data modeling techniques (e.g., star schema, snowflake schema, normalization).
  • Experience with data integration, data orchestration and data ingestion
  • Familiarity with ETL/ELT processes and orchestration frameworks.
  • Strong analytical thinking and problem-solving capabilities.
  • Excellent communication and collaboration skills.
  • Comfortable working in agile, fast-paced environments.
  • Bonus: Experience with real-time analytics and large-scale data processing.
  • Bonus: Experience with Microsoft Fabric
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