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Data Warehouse Developer Jobs in Michigan (NOW HIRING)

CFS

Senior Data Engineer

Lansing, MI · On-site

$125K - $155K/yr

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 ...

MDT Technical

Data Warehouse Architect 3

Lansing, MI · On-site

Data Warehouse Architect 3 (Hybrid) Primary Location: Lansing, Michigan V-Soft Consulting is currently hiring for a Data Warehouse Architect 3 for our premier client in Lansing, Michigan . Education ...

Cloud BC Labs

GCP Data Engineer

Dearborn Heights, MI · On-site

Data Warehousing: Understanding of data warehousing concepts and principles. * Data Governance ... Experience with DevOps practices and tools (e.g., CI/CD, Terraform, Docker). Cloud BC Labs Inc is a ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1054989 * Employees in this job function are responsible for designing, building ... GCP, Big Data, Data Warehousing, Artificial Intelligence & Expert Systems, API * GCP - Experience ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1054984 * Employees in this job function are responsible for designing, building ... GCP, Big Data, Data Warehousing, Artificial Intelligence & Expert Systems, API * GCP - Experience ...

HireITPeople

Data Warehouse Architect 3

Lansing, MI · On-site

The ETL Developer is responsible for designing, developing, and maintaining high-quality data integration solutions using IBM DataStage and related technologies. This role supports both on-premises ...

Amway

Cloud Data Engineer

Ada, MI · On-site

$112K - $134K/yr

... warehouses and BI datasets to cloud platforms • Supporting BI and data warehouse migration ... modern developer tools, including AI‑assisted coding tools, to improve efficiency • ...

Amway Inc.

Cloud Data Engineer

Ada, MI

$92K - $113K/yr

Data Engineering & Enterprise Integrations/ Data Warehousing Salary Range: $92,196/yr - $113,890/yr plus bonus Location: Ada, MI (onsite) What we're looking for: We are seeking an experienced Data ...

Next Step Systems

Data Architect

Farmington Hills, MI · On-site

$62.75 - $80.75/hr

Farmington Hills MI Jobs, Data Architect, Business Intelligence, BI, Data Warehouse, ETL, Data Marts, Data Lake, 3ND, Dimensional Models, Software Engineer, Programming, Programmer Analyst, Michigan ...

Amway

Cloud Data Engineer

Ada, MI · On-site

$92K - $113K/yr

Data Engineering & Enterprise Integrations/ Data Warehousing Salary Range: $92,196/yr - $113,890/yr plus bonus Location: Ada, MI (onsite) What we're looking for: We are seeking an experienced Data ...

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All JobsData Warehouse Developer JobsData Warehouse Developer Jobs in Michigan

Data Warehouse Developer information

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$47

$63

How much do data warehouse developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data warehouse developer in Michigan is $47.44, according to ZipRecruiter salary data. Most workers in this role earn between $41.30 and $56.59 per hour, depending on experience, location, and employer.

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

To thrive as a Data Warehouse Developer, you need expertise in data modeling, ETL processes, SQL, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with data warehousing tools (such as Informatica, Talend, or SSIS), OLAP systems, and cloud data platforms is highly valuable, along with relevant certifications. Strong analytical thinking, problem-solving abilities, and effective communication skills set standout professionals apart in this role. These skills are crucial for designing efficient data solutions, ensuring data integrity, and enabling business intelligence for informed decision-making.

What are some common challenges Data Warehouse Developers face when integrating data from multiple sources?

Data Warehouse Developers often encounter challenges with data consistency, varying data formats, and incomplete or poor-quality data when integrating information from multiple sources. Resolving these issues typically involves designing robust ETL (Extract, Transform, Load) processes, implementing data cleansing routines, and collaborating closely with data owners and business analysts to understand data lineage and requirements. Adapting to frequent changes in source systems and ensuring the warehouse remains scalable and performant can also be demanding, but they provide valuable opportunities to develop problem-solving skills and deepen technical expertise.

What are Data Warehouse Developers?

Data Warehouse Developers are IT professionals who design, build, and maintain data warehouse systems that consolidate and organize data from multiple sources. They create data models, develop extraction, transformation, and loading (ETL) processes, and ensure data integrity and optimal performance for analytics and reporting. Their work supports business intelligence efforts by making large volumes of data accessible and useful for decision-making.

What Is a Data Warehouse Developer?

A data warehouse developer designs and implements data warehouses, which are meant to store large amounts of data for easy retrieval by a business or organization. In this role, your duties are to develop storage architecture, design big data models, and create ways to input transactions, such as sales, receipts, customer data, and user downloads. Working with other developers, you ensure that the warehouse can both receive customer and client data and return it as output to analysts who can make recommendations based on their interpretation.

What is the difference between Data Warehouse Developer vs Data Analyst?

AspectData Warehouse DeveloperData Analyst
CredentialsBachelor's in Computer Science, Data Management, or related field; certifications like Microsoft Certified: Data Analyst AssociateBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentDesigning, developing, and maintaining data warehouses; working with ETL tools and database systemsAnalyzing data sets, creating reports, and providing insights using BI tools
Industry UsageUsed across industries for data storage and managementUsed across industries for data analysis and reporting

The main difference is that Data Warehouse Developers focus on building and maintaining data storage systems, while Data Analysts interpret data to support business decisions. Both roles require strong technical skills and often overlap in data handling tasks, but their core responsibilities differ.

More about Data Warehouse Developer jobs
What are popular job titles related to Data Warehouse Developer jobs in Michigan? For Data Warehouse Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Warehouse Developer jobs in Michigan look for? The top searched job categories for Data Warehouse Developer jobs in Michigan are:
What are popular job titles related to Data Warehouse Developer jobs in MI? For Data Warehouse Developer jobs in MI, the most frequently searched job titles are:
Data Warehouse Developer jobs near you
Infographic showing various Data Warehouse Developer job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,668 per year, or $47.4 per hour.
Senior Data Engineer

Senior Data Engineer

CFS

Lansing, MI • On-site

$125K - $155K/yr

Full-time

Medical, Retirement, PTO

Posted 16 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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