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Data Transformation Jobs in Michigan (NOW HIRING)

Data Transformation tools like Dataiku * Dashboarding tools like PowerBI or Tableu * Collecting Data from various sources * Troubleshoot issues with data infrastructure, monitor systems Andrew ...

Data Transformation tools like Dataiku * Dashboarding tools like PowerBI or Tableu * Collecting Data from various sources * Troubleshoot issues with data infrastructure, monitor systems Andrew ...

Data Scientist

Sterling Heights, MI · On-site

$50 - $58/hr

... through data transformation within Power BI Skills Required: Excellent oral and written communications. Proven ability to work within teams in which your contributions are critical to success.

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks. Required qualifications

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Perform data ingestion, data wrangling, and data transformation for various data sources, including loading data into BigQuery. * Develop and maintain stored procedures, triggers, and data models.

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Perform data ingestion, data wrangling, and data transformation for various data sources, including loading data into BigQuery. Develop and maintain stored procedures, triggers, and data models. Work ...

Proven success leading enterprise-scale data transformation and Master Data Management initiatives. * Deep understanding of data governance, modern data architectures, and enterprise data platforms.

Data Engineer

Detroit, MI · On-site

$130K - $150K/yr

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital ...

Data Engineer

Detroit, MI

$130K - $150K/yr

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital ...

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

Design, improve or govern selected data models, transformation logic and pipeline components that support AI and analytics use cases * Promote maintainable structures, reusable components and clear ...

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Data Transformation information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do data transformation jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data transformation in Michigan is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $148,200.00 per year, depending on experience, location, and employer.

What is a data transformation?

A Data Transformation job involves converting, structuring, and optimizing raw data to make it useful for analysis, reporting, or other business processes. Professionals in this role use ETL (Extract, Transform, Load) tools, coding languages like SQL or Python, and cloud platforms to clean, aggregate, and reformat data. They ensure data integrity, improve accessibility, and support data-driven decision-making. This role is essential in industries that rely on accurate and efficient data processing, such as finance, healthcare, and e-commerce.

What are the typical daily responsibilities of someone in a data transformation role?

In a Data Transformation role, your daily responsibilities often include analyzing raw data from multiple sources, designing and executing processes to clean and reformat data, and collaborating with business and IT teams to ensure data meets project requirements. You’ll typically work with ETL (Extract, Transform, Load) tools to automate and streamline these processes, as well as perform quality checks to validate data accuracy. Coordinating with data engineers, data analysts, and stakeholders is a key part of the job to ensure projects align with business goals. Staying up-to-date with new data management technologies and best practices can also be a regular part of your routine, helping to drive ongoing improvements.

What are the key skills and qualifications needed to thrive in the data transformation position, and why are they important?

To thrive in a Data Transformation role, a strong background in data analysis, data modeling, and database management is essential, often supported by a degree in computer science, information systems, or a related field. Proficiency with data transformation tools like SQL, ETL platforms (such as Informatica or Talend), and cloud data services is typically required, and certifications in these areas can be advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities are key for collaborating with cross-functional teams and addressing complex data challenges. These skills and qualities are important because they ensure accurate, efficient data transformations that support critical business decisions.

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

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

Infographic showing various Data Transformation job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $143,829 per year, or $69.1 per hour.

Data Scientist

Sterling Heights, MI • Hybrid

Geologics
IT Services • 501 - 1,000 employees

$52 - $62/hr

Contractor

PTO

Re-posted 14 days ago


Job description

 

GeoLogics is working with a top Aerospace and Defense client looking for a Data Scientist in Sterling Heights, MI - Hybrid.

Role: Data Scientist

Client: Top Aerospace and Defense company

Location: Sterling Heights, MI - Hybrid (Goal is to be 3 days on, 2 day remote) 

Schedule/Travel: 9/80 with 10% travel

Education: Bachelor's in Data Management, Data Science, Math, Statistics

Rate: $52 to $62 per hour (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid)

Job Description

  • Responsible for designing, building, and maintaining the data infrastructure, including databases, data warehouses, and data pipelines. 
  • Collect data from various sources (databases, APIs, etc.) and implement efficient data pipelines to transform raw data into usable formats such as dashboards and associated reports and insights. 
  • Ensure that data is stored securely, efficiently, and in a manner that is accessible for analysis and reporting. 
  • Ensuring the accuracy, consistency, and reliability of data, implementing data validation and quality control processes. 
  • Optimize data pipelines for speed, scalability, and performance, ensuring that data is available when and where it's needed. 
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure that data infrastructure meets their needs. 
  • Troubleshoot issues with data infrastructure, monitor system performance, and perform regular maintenance to ensure smooth operation. 
  • Support configuration control, documentation and change impact analysis on the businesses data architecture model including identification of Authoritative Source of Truth (ASOT) databases, connectors to replicate data from ASOTS to Midas and/or AWSCloud Environments through data transformation within Power BI.

Skills Required

  • Excellent oral and written communications. 
  • Proven ability to work within teams in which your contributions are critical to success. 
  • Exceptional analytic skills with some knowledge of probability and statistics and mathematical programming. 
  • Proficiency with tools such as Power BI, Visual Basic, MS Excel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Alation, Dataiku, Oracle, SQL.
  • Familiarity with Atlassian Jira or ServiceNow. 
  • Proficiency with server usage and troubleshooting. 
  • Ability to prioritize and self-manage a multi-tasked workload in a fast-paced environment.
  • Must be able to work independently to research, analyze, and form solutions. 
  • Must be able to translate data into information; resulting in data-driven actions/recommendations.
  • Proficiency in areas such as probability and statistics, applied mathematics, Mathematical programming (linear, nonlinear, integer), Network analysis, Queuing theory, and Economic evaluation. 
  • Be directly involved in developing data models and process flows as well as liaising with multiple stakeholders - mainly engineering, to document and/or validate the current state or As-Is business process. 
  • Must have ability to work in a cross-functional team environment Ability to develop solutions to complex problems. 
  • Ability to make decisions with sound judgment while complying with policies and procedures.
  • Experience developing requirements for collection of and follow on use of data to inform the organization. 
  • Working knowledge of technical concepts, strategies, methodologies, architectures, and technical standards. 
  • Self-starter with excellent attention to detail and able to stay organized.

Must Have Knowledge:

  • AWS Medallion architecture including AWS Redshift
  • Data Cataloguing tools like Collibra
  • Data Transformation tools like Dataiku
  • Dashboarding tools like PowerBI or Tableu
  • Collecting Data from various sources
  • Troubleshoot issues with data infrastructure, monitor systems
 
Andrew Gephart

(703) 891-6133
agephart@geologics.com

*Rates listed are not a guarantee of salary/rate.  Rate offered at time of hire will depend on many factors including education, experience, interview results and skill level

GeoLogics is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse and talented workforce. EOE/Disability/Veteran



Education:DegreeEmployment Type: CONTRACTOR