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Test Data Management Jobs in Michigan (NOW HIRING)

Stellantis

Impact Safety Test Engineer

Chelsea, MI · On-site

Ensuring the test data collection systems are properly configured and are capturing the required ... Ability to manage several continuous improvement initiatives and engineering projects without ...

Stellantis

Impact Safety Test Engineer

Chelsea, MI

Ensuring the test data collection systems are properly configured and are capturing the required ... Ability to manage several continuous improvement initiatives and engineering projects without ...

Rigaku

Production Test Technician

Auburn Hills, MI

$16.25 - $20.25/hr

Data Management & Traceability * Enter and maintain accurate records of optical assemblies and test results in company systems. * Ensure proper documentation and traceability of products throughout ...

Rigaku

Production Test Technician

Auburn Hills, MI · On-site

$16.25 - $20.25/hr

Data Management & Traceability * Enter and maintain accurate records of optical assemblies and test results in company systems. * Ensure proper documentation and traceability of products throughout ...

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Test Data Management information

See Michigan salary details

$14

$39

$50

How much do test data management jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for test data management in Michigan is $39.09, according to ZipRecruiter salary data. Most workers in this role earn between $33.12 and $47.98 per hour, depending on experience, location, and employer.

Which certifications are best for test data management?

For test data management roles, certifications such as ISTQB Test Data Management Certification, Certified Data Management Professional (CDMP), and certifications in data governance or quality like DAMA-DMBOK are valuable. These certifications demonstrate expertise in data quality, governance, and testing processes essential for effective test data management.

Is data management a good career option?

Data management is a viable career choice, especially for roles like Test Data Management, which involve organizing, maintaining, and ensuring the quality of data for testing and analysis. It requires skills in database tools, data governance, and attention to detail, with opportunities across various industries that rely on accurate data handling.

What are the key skills and qualifications needed to thrive in the Test Data Management position, and why are they important?

To excel in Test Data Management, you need a solid understanding of database management, data privacy regulations, and quality assurance, often supported by a degree in computer science, information systems, or a related field. Familiarity with ETL tools, data masking software, SQL, and test management platforms, as well as certifications like ISTQB or data management credentials, can be advantageous. Strong attention to detail, analytical thinking, and effective communication are critical soft skills for working across teams and resolving data issues. These skills are essential to ensure secure, high-quality test data that supports reliable software testing and compliance within an organization.

What is a Test Data Management job?

A Test Data Management (TDM) job focuses on creating, managing, and maintaining test data for software testing processes. It involves ensuring data availability, security, compliance, and relevance to support different testing environments. TDM professionals work with databases, masking techniques, data provisioning, and automation tools to provide high-quality test data. Their role helps improve testing efficiency, reduce defects, and ensure that test environments closely mimic production.

What are some typical challenges faced in a Test Data Management role?

Professionals in Test Data Management often encounter challenges such as ensuring data privacy compliance, maintaining data consistency across environments, and meeting the test data needs of diverse project teams on tight deadlines. Balancing the need for realistic, production-like data with security and regulatory constraints requires strong technical and problem-solving skills. Collaboration with testers, developers, and business analysts is key to understanding requirements and delivering effective solutions. Staying adaptable and proactive in learning new tools and regulatory changes helps Test Data Management specialists remain effective and in-demand in this evolving field.

What is test data management?

Test data management is the process of creating, maintaining, and controlling data used for testing software applications. It involves generating realistic data sets, ensuring data privacy, and using tools to automate data provisioning, which helps improve testing efficiency and accuracy. Professionals in this field often work with data masking, data provisioning, and testing environments to support quality assurance efforts.

What is the role of test data manager?

A test data manager is responsible for creating, maintaining, and controlling test data used in software testing to ensure data privacy, accuracy, and consistency. They collaborate with testing teams to develop data strategies, often utilizing data management tools and techniques to support quality assurance processes.
What are popular job titles related to Test Data Management jobs in Michigan? For Test Data Management jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Test Data Management jobs in Michigan look for? The top searched job categories for Test Data Management jobs in Michigan are:
Test Data Management jobs near you
Infographic showing various Test Data Management job openings in Michigan as of July 2026, with employment types broken down into 14% Internship, 58% Full Time, and 28% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $81,307 per year, or $39.1 per hour.

Test Automation Architect

Meta Force Technology Staffing LLC

Auburn Hills, MI • On-site

Contractor

Re-posted 22 days ago

Job description

Test Automation Architect- Hybrid

Auburn Hills, MI- 12 months

We are seeking a strategic and technically proficient Test Automation Architect to lead the design and implementation of intelligent, scalable test automation frameworks. This role is pivotal in modernizing our testing infrastructure to support high-performance and eliminate manual efforts.

Responsibilities and Experience Required:

Design and implement enterprise-wide test automation frameworks using AI-assisted tools

Expertise in automating AI system testing is mandatory

Architect cloud-native testing infrastructures for distributed and microservice-based systems

Establish testing standards, governance models, and best practices

Implement intelligent test data management and synthetic data generation

Deep understanding of CI/CD pipelines and DevOps practices; coding using groovy scripts to configure the test execution jobs

Experience with cloud platforms (AWS, Azure, GCP); Exposure to Kubernetes/ docker microservice is a necessity

Guide teams in adopting modern testing tools and practices

Hands-on experience in API integration test automation. Should be able to develop and enhance automation (Java, Junit/TestNg, Cucumber, etc.)

A Vital technical tester with exposure working in large enterprise-class applications

Good exploratory testing skills by understanding related domains, architecture, and requirements.

Should be passionate about quality engineering and keen on continuous improvement across processes, products, and technology.

Experience in debugging and troubleshooting issues in Linux environments

Ability to work with multiple stakeholders with proactive and robust communication skills.

Knowledge of Performance testing (Jmeter or LR) and exposure to Security testing is a plus.

Hands-0n experience in UI automation using selenium,maven,java and cucumber technologies are required to design and develop UI test automation suites on demand.

Preferred Experience:

Working experience in Agile development processes

Previous experience working with/for a large, complex, global organization 

Experience in the automotive industry and automotive connectivity 

Previous experience with large-scale cloud solutions, preferably built on AWS