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Data Warehouse Developer Jobs in Michigan (NOW HIRING)

Stem Xpert

Data Architect

Detroit, MI · On-site

$63 - $81.25/hr

Netezza, Vertica, Exadata) preferred 4. Requires expert level knowledge and understanding of data warehouse architecture, application design, systems engineering, SDLC and integration. 5. Must have ...

Sun, Inc.

Senior Data Engineer

Southfield, MI · Remote

$97K - $132K/yr

Career Site Header Job Summary The Senior Data Engineer is a key resource in building and maintaining a modern enterprise data lake and data warehouse in Sun's Azure data platform. They will ...

Sun RV Resorts

Senior Data Engineer

Southfield, MI · Remote

$97K - $132K/yr

Career Site Header Job Summary The Senior Data Engineer is a key resource in building and maintaining a modern enterprise data lake and data warehouse in Sun's Azure data platform. They will ...

Pwc

Data Engineer - Manager

Detroit, MI · On-site

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Pwc

Data Engineer - Manager

Grand Rapids, MI · On-site

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Kobie Marketing

Sr. Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

Our Data Engineering team builds and maintains the operational data foundation that powers real ... Translate client loyalty program requirements into production-ready data warehouse structures ...

Stem Xpert

Data architect

Lansing, MI · On-site

$64.75 - $83.25/hr

The company is primarily focused on information technology, engineering, healthcare, financial ... Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ...

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Data Engineers work collaboratively with architects, business intelligence developers, data ... Well-versed with concepts and techniques of Business Intelligence and Data Warehousing * Strong ...

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Data Engineers work collaboratively with architects, business intelligence developers, data ... Well-versed with concepts and techniques of Business Intelligence and Data Warehousing * Strong ...

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Data Engineers work collaboratively with architects, business intelligence developers, data ... Well-versed with concepts and techniques of Business Intelligence and Data Warehousing * Strong ...

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Data Warehouse Developer information

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How much do data warehouse developer jobs pay per hour?

As of Jul 16, 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.
ETL (IBM DataStage) Data Warehouse Architect 3

ETL (IBM DataStage) Data Warehouse Architect 3

PROLIM Global Corporation

Lansing, MI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

PROLIM Global Corporation (www.prolim.com) is hiring a ETL (IBM DataStage) Data Warehouse Architect 3 for a leading government Client.
Job Title: ETL (IBM DataStage) Data Warehouse Architect 3
Location: Lansing, Michigan - Hybrid
Job Description
We are seeking an experienced ETL Developer / Data Warehouse Architect to support enterprise data modernization initiatives and the migration of IBM DataStage workloads to IBM Cloud Pak for Data (CP4D). The selected candidate will be responsible for designing, developing, and maintaining scalable and secure data integration solutions across on-premise and cloud environments.
The ideal candidate will have strong expertise in IBM DataStage, Unix/Linux administration, SQL development, Python scripting, and Master Data Management (MDM). This role requires close collaboration with technical and business teams to ensure reliable delivery of enterprise data solutions.
Key Responsibilities
  • Develop, enhance, and optimize ETL pipelines using IBM DataStage, including parallel and server jobs, job sequencing, and performance tuning.
  • Support migration of on-premise DataStage jobs to IBM Cloud Pak for Data (CP4D), including code refactoring, testing, validation, and workflow modernization.
  • Use Python and XML to automate processes, perform data transformations, and integrate automation into ETL workflows.
  • Work extensively in Linux/Unix environments to develop shell scripts, manage file systems, monitor processes, and troubleshoot runtime issues.
  • Apply Master Data Management (MDM) principles to ensure data quality, governance, and consistency across enterprise systems.
  • Develop complex SQL queries for data extraction, transformation, validation, and performance optimization.
  • Participate in Agile development activities, including sprint planning, deployments, documentation, and continuous improvement initiatives.
  • Collaborate with data architects, analysts, DBAs, and business users to deliver accurate and scalable data solutions.
  • Troubleshoot ETL issues, perform root cause analysis, and ensure adherence to data standards and security policies.

Required Skills & Qualifications
  • 5+ years of experience with ETL development using IBM DataStage (Required)
  • 1+ year of exposure to IBM Cloud Pak for Data (Required)
  • 5+ years of experience working in Unix/Linux environments
  • 3+ years of experience with Master Data Management (MDM)
  • Strong knowledge of SQL development and performance tuning
  • Experience with Python scripting and XML processing
  • Experience supporting enterprise data integration and modernization initiatives.
  • Local Michigan candidates only - candidates must reside in Michigan at the time of submission.
  • Ability to work onsite two days per week (Monday & Tuesday) from Day 1.

Preferred Qualifications
  • Previous experience working with Government or Public Sector organizations.
  • Experience supporting enterprise data migration and modernization projects.
  • Familiarity with cloud-based data integration platforms and governance practices.

Interested Candidates
Please send your updated resume and contact details to: anand.kanavalli@prolim.com
About PROLIM Corporation
PROLIM is a leading provider of end-to-end IT, PLM, and Engineering Services and Solutions for Global 1000 companies. We understand business as much as technology and help our customers improve profitability and efficiency through high-value consulting, staffing, engineering, and project management services.
Our offerings include Advisory Services, PLM Software & Services, Program Management, Solution Architecture, Training & Staffing, Cloud Solutions, Infrastructure Services, ERP Practices, Quality Assurance Services, and Engineering Services across a wide range of industries.

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