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Data Warehouse Developer Jobs in Michigan (NOW HIRING)

Sun Communities, Inc.

Data Platform Architect

Southfield, MI · On-site

$58.50 - $75.25/hr

... data warehouse, and surrounding data ecosystem. This role ensures that data is ingested, modeled ... Partnering closely with data engineering, analytics, governance, and application teams, the Data ...

Sun RV Resorts

Data Platform Architect

Southfield, MI · On-site

$58.50 - $75.25/hr

... data warehouse, and surrounding data ecosystem. This role ensures that data is ingested, modeled ... Partnering closely with data engineering, analytics, governance, and application teams, the Data ...

Trilyon, Inc.

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116K - $139K/yr

We partner with top companies to deliver high-quality talent in engineering, IT, and emerging ... Ensure data integrity, performance, and scalability across data warehouse environments * Apply CMM ...

Sun, Inc.

Data Platform Architect

Southfield, MI

$58.50 - $75.25/hr

... data warehouse, and surrounding data ecosystem. This role ensures that data is ingested, modeled ... Partnering closely with data engineering, analytics, governance, and application teams, the Data ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

Cloud native (AWS Glue, Azure Data Factory, Google Cloud Dataflow) & in-warehouse transform tools (Fivetran, Talend, dbt); • Big Data Tech: Hadoop, Spark, Kafka; • Programming/API: Python, Keras ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$140K - $184K/yr

... warehouse solutions tailored for analytics, reporting, and data product consumption. 3 years of experience in each of the following skills is required: 1. Designing and implementing production-grade ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$140K - $184K/yr

... warehouse solutions tailored for analytics, reporting, and data product consumption. 3 years of experience in each of the following skills is required: 1. Designing and implementing production-grade ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

... warehouse, business intelligence, data modelling and source data optimization initiatives ... R Programming for data visualizations, Python, TensorFlow, PyTorch, Keras, Scikit-learn, Apache ...

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Warehousing - Experience designing and maintaining data warehouse solutions (e.g., BigQuery ... Senior Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.; guides. * 10+ years in IT ...

Pwc

Data Engineer - Manager

Grand Rapids, MI

$99K - $232K/yr

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... warehouse troubleshooting and performance tuning - Mentoring junior staff in data strategy and ...

Pwc

Data Engineer - Manager

Detroit, MI

$99K - $232K/yr

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... warehouse troubleshooting and performance tuning - Mentoring junior staff in data strategy and ...

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Data Warehouse Developer information

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$11

$47

$63

How much do data warehouse developer jobs pay per hour?

As of Jun 10, 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
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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 June 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $98,668 per year, or $47.4 per hour.
Data Engineer / Business Intelligence Specialist

Data Engineer / Business Intelligence Specialist

Kalsec, Inc.

Kalamazoo, MI • On-site

$48.25 - $62.75/hr

Full-time

Posted 12 days ago

Job description

Job Summary:
This role is responsible for developing and integrating data from multiple source systems, supporting the operation and reliability of the organization's Business Intelligence (BI) platform. This role focuses on developing global reports, performing multi-system data mining, and ensuring high availability and performance of BI solutions. The BI Specialist works closely with the Director of Information Services, the Data Warehouse and Analytics Manager, Data Scientists, Data Analysts, business process owners, and other stakeholders. In this role, they identify business needs, recommend solutions, and design, implement, and support BI and analytics capabilities. These solutions deliver timely, actionable insights that enable faster and more informed business decisions.
Essential Job Responsibilities:
Data Engineering & Analytics
  • Gather and document requirements for ETL processes into SnowKAP (Kalsec Analytics Platform), the company's cloud-based data warehouse, from a wide range of source systems.
  • Collaborate with directors, managers, developers, and end users to design and deliver dashboards, metrics, reports, and analytics solutions.
  • Analyze and evaluate business systems, workflows, and procedures to identify improvement opportunities.
  • Ensure efficient and consistent use of data resources across global business units.
  • Contribute to short- and long-term BI and analytics strategy development.
  • Recommend improvements to enhance scalability, performance, and growth of the BI/KAP architecture.
  • Develop and maintain semantic layers, metadata, reports, and report definitions.
  • Research emerging data technologies to support future data management initiatives.
  • Utilize BI and database platforms including SAP Business Objects, Cognos, Power BI, Tableau, DB2, Oracle, Teradata, MySQL, SAP HANA, PostgreSQL, and Snowflake.

BI Platform Operations
  • Support deployment, monitoring, maintenance, enhancement, and upgrades of BI and SnowKAP systems.
  • Develop and maintain global maintenance schedules for BI and data warehousing platforms.
  • Establish best practices for issue resolution in a high-availability, 24/7 global environment.
  • Troubleshoot BI tools and applications, and perform performance tuning.
  • Ensure change management activities comply with organizational standards.
  • Communicate regularly with executives, department leaders, and end users to support data-driven decision making.
  • Design and deliver end-user training and documentation, and provide ongoing technical support.

Qualifications:
Bachelor's degree with 2-4 years related experience or equivalent combination of education and experience.
Required
  • Education in Computer Science, Computer Engineering, Information Systems, or a related field.
  • Professional experience in one or more of the following roles: Data Engineer, Data Analyst, BI Developer (including Senior BI Developer), Business Objects Administrator, Business Systems Analyst, Technology Functional Lead, Programmer Analyst, or a closely related position.
  • Proficiency in writing simple to complex SQL (Structured Query Language).
  • Experience with SAP Business Objects and Power BI.
  • Strong understanding of data warehouse concepts.
  • Advanced proficiency in Python for ETL development.
  • Hands-on experience with Snowflake.
  • Experience with ERP systems, preferably Infor M3.
  • Familiarity with AWS or other cloud platforms.
  • Strong problem-solving and analytical skills.
  • Ability to work independently as well as collaboratively in cross-functional team environments.
  • Excellent written, verbal, and technical documentation skills.

Desired
  • Experience designing, developing, and maintaining Python-based ETL processes to integrate data from multiple source systems.
  • Proven ability to enhance and optimize existing ETL applications to support new integrations and improve performance.
  • Experience managing, monitoring, and optimizing data pipelines within Snowflake.
  • Knowledge of data quality, security, and scalability best practices in cloud environments (AWS preferred).
  • Experience building new dashboards and migrating legacy SAP Business Objects reports to Power BI.
  • Strong collaboration skills with business stakeholders to design intuitive, actionable BI solutions.
  • Hands-on experience extracting and transforming data from ERP systems such as Infor M3 for analytics and reporting.
  • Snowflake certification.
  • Experience modernizing or migrating legacy BI platforms to cloud-based or modern analytics solutions.

Working Conditions:
  • On-call availability
  • Overtime hours may be required
  • Sitting for extended periods of time
  • Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices
  • Ability to lift computers, monitors, and other peripherals

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
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About Kalsec

Sourced by ZipRecruiter

Industry

Food services and drinking places

Company size

201 - 500 Employees

Headquarters location

Kalamazoo, MI, US

Year founded

1958

Social media

Twitter

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