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Data Qa Engineer Jobs in Michigan (NOW HIRING)

The Quality Assurance Engineer ensures the product and process quality in the project through analytical and constructive quality assurance measures. * Planning, implementation and tracking of the ...

The Quality Assurance Engineer ensures the product and process quality in the project through analytical and constructive quality assurance measures. * Planning, implementation and tracking of the ...

The Quality Assurance Engineer ensures the product and process quality in the project through analytical and constructive quality assurance measures. * Planning, implementation and tracking of the ...

About the Role We are seeking a Senior Quality Assurance Engineer / End-to-End Test Lead to support large-scale retail technology initiatives for a fast-paced enterprise environment. This role is ...

Quality Assurance Engineer Position Summary Do you want to... * Play a key role in starting up a new manufacturing plant? * Help build a reliable QMS (quality management system) that supports ...

Quality Assurance Engineer Position Summary Do you want to... * Play a key role in starting up a new manufacturing plant? * Help build a reliable QMS (quality management system) that supports ...

Quality Assurance Engineer

Walker, MI · On-site

$70K - $89K/yr

Flexco, a leading global manufacturer of, is looking for a Quality Assurance Engineer who has ... data. * Conduct weekly, monthly and quarterly meetings to review Customer Complaints and Internal ...

Quality Assurance Engineer Position Summary Do you want to... * Play a key role in starting up a new manufacturing plant? * Help build a reliable QMS (quality management system) that supports ...

The Quality Assurance Engineer at Héroux-Devtek, is responsible for ensuring final product quality across aerospace and defense programs by developing and executing First Article Inspection (FAI ...

Our top direct client is looking for a QA Engineer. The client is a Fortune 50 multi-billion dollar revenue generating organization with a spectrum of products and services throughout major operating ...

Lead QA Engineer

Ann Arbor, MI · On-site

$126K/yr

Mentor junior QA engineers, reinforcing best practices and supporting their professional growth ... Experiencevalidatingboth SQL and NoSQL data persistence layers (MSSQL, PostgreSQL, DynamoDB)

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Data Qa Engineer information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do data qa engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data qa engineer in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 per year, depending on experience, location, and employer.

Is QA replaced by AI?

Quality Assurance (QA) engineers, including Data QA Engineers, use AI tools to automate testing and improve accuracy, but AI has not fully replaced the need for human oversight. QA roles now often involve managing AI-driven testing processes, analyzing results, and ensuring data quality, making the role more focused on oversight and interpretation rather than manual testing alone.

What does a data QA engineer do?

A data QA engineer is responsible for testing and validating data quality, accuracy, and integrity within data pipelines and systems. They develop test plans, use tools like SQL and data validation frameworks, and collaborate with data engineers to identify and resolve data issues, ensuring reliable data for decision-making.

What engineers make 300,000 a year?

Senior data QA engineers with extensive experience, advanced skills in testing automation, and certifications can earn around $300,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this salary often requires expertise in tools like Selenium, Python, or SQL, along with leadership responsibilities and a strong understanding of data quality standards.

What are some typical challenges faced by Data QA Engineers on the job?

Data QA Engineers often encounter complex challenges such as identifying subtle data inconsistencies, managing large volumes of data across multiple sources, and ensuring testing keeps pace with rapidly evolving datasets and business requirements. You'll regularly need to investigate root causes of data issues, develop automated solutions for regression testing, and collaborate with data engineers, analysts, and product teams to clarify data expectations. The fast-paced environment demands adaptability and a proactive approach to improving data reliability. Overcoming these challenges helps maintain data integrity and contributes significantly to business success.

What engineers make $500,000?

Senior data QA engineers with extensive experience, advanced skills in automation and testing tools, and often certifications can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Such compensation typically includes base salary, bonuses, and stock options. Achieving this level usually requires a combination of technical expertise, leadership, and years of industry experience.

What is a Data QA Engineer job?

A Data QA Engineer ensures the accuracy, reliability, and integrity of data by testing data pipelines, ETL processes, and data warehouses. They design and execute test cases, identify data quality issues, and collaborate with data engineers to resolve defects. Their role is crucial in maintaining high-quality data for analytics, reporting, and decision-making.

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

To thrive as a Data QA Engineer, you need a solid understanding of data quality principles, database management, and strong analytical skills, often supported by a degree in computer science or a related field. Familiarity with data validation tools, SQL, automation frameworks (such as Selenium or pytest), and certifications like ISTQB are commonly expected. Attention to detail, effective problem-solving, and strong communication help you collaborate efficiently across data and engineering teams. These abilities ensure accurate, reliable data pipelines and trustworthy analytics, which are critical for business decision-making.

What job categories do people searching Data Qa Engineer jobs in Michigan look for? The top searched job categories for Data Qa Engineer jobs in Michigan are:
Quality Assurance Engineer

Quality Assurance Engineer

University of Michigan

Ann Arbor, MI • On-site

$75K - $80K/yr

Full-time

Posted 25 days ago


University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

130th of 537 rated colleges and universities


Job description

How to Apply
A cover letter and resume are important submissions for the hiring team to get a sense of your experience. In the cover letter, in two pages or less, please let us know how this role aligns with your career aspirations and skill set. Submit both a cover letter and resume as one file (because of system limitations).
Who We Are
Through curricular innovation, tools for student success, and educational research and analytics, the University of Michigan Center for Academic Innovation is building the future of education. Our vision is a future in which education connects and empowers learners everywhere to reach their full potential throughout their lives. To realize our vision, we make it our mission to collaborate across campus and around the world to create equitable, lifelong educational opportunities for learners everywhere.
Job Summary
T he Michigan Online Product Engineering team is a newly formed, dynamic group of developers, designers, and product specialists at the heart of the Center for Academic Innovation. Our mission is to design, build, and scale the Michigan Online platform to serve 25 million learners worldwide. Organized into squads focused on the Learner Innovation, Platform, Data & Infrastructure, and Assurance, we are responsible for the entire product lifecycle. We are a collaborative, agile team dedicated to creating a world-class, data-driven, and personalized destination for online education.
For more information, please visit our website: Academic Innovation .
Responsibilities*
Quality Engineering and Test Execution
  • Define and implement comprehensive testing strategies across all product squads
  • Assist with unit testing for web, mobile, and API testing
  • Collaborate with engineers to establish release readiness criteria and quality gates, balancing speed with reliability
  • Design test approaches for complex integrations (Canvas, edX, NLP, payment systems)
  • Track quality metrics and drive continuous improvement through data-driven insights
  • Support accessibility compliance (WCAG 2.1 AA) and inclusive user experiences
  • Prioritize testing efforts based on risk assessment and business value

Technical Excellence and Infrastructure
  • Architect front-end test automation using modern frameworks (Playwright, Cypress, Python)
  • Integrate automated test suites (unit, integration, E2E) into CI/CD pipelines using tools like Jenkins, GitHub Actions, or CircleCI to enable continuous validation and rapid feedback
  • Implement performance, security, and reliability testing strategies
  • Maintain test environments, test data management strategies, and implement synthetic monitoring to proactively identify performance and availability issues
  • Debug complex multi-system issues and coordinate resolution
  • Champion testing best practices including shift-left

Cross-Squad Collaboration and Mentorship
  • Partner with others in engineering to improve code testability and testing standards
  • Collaborate with product managers and developers on acceptance criteria and test scenarios
  • Support all squads with specialized testing needs (CMS, data pipelines, A/B tests)
  • Facilitate bug triage and coordinate cross-team issue resolution
  • Communicate testing status and quality insights to stakeholders

What You'll Do
As a Quality Assurance Engineer, you will report to the Senior Quality Assurance Engineer and execute the quality strategy and testing responsibilities across all product squads, ensuring U of M's Center for Academic Innovation's products remains reliable, scalable, and learner-centered. You will design and implement automation frameworks, oversee release readiness, and balance automated and manual testing to deliver exceptional user experiences. Acting as a hands-on engineer you will integrate quality practices into every stage of development, strengthen continuous integration and deployment pipelines, and champion test automation as part of our DevOps culture. You will contribute to quality metrics, provide data-driven analysis of those metrics, and serve as a guardian of production stability while enabling teams to innovate and release confidently at scale.
Required Qualifications*
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience
  • 1 - 3 years of professional QA/testing experience as an engineer, analyst, or other testing roles
  • Strong test automation experience with modern frameworks and languages:
    • Web automation: Selenium, Cypress, Playwright, or similar
    • API testing: REST, GraphQL, Postman, or similar tools
    • Programming: Python, JavaScript, TypeScript, or Java
    • Mobile testing experience (iOS/Android) is a plus
  • Proficiency with version control (Git) and experience with CI/CD tools (Jenkins, GitHub Actions, CircleCI) is a plus
  • Strong understanding of testing methodologies (functional, integration, regression, UAT)
    and experience with performance testing tools (JMeter, K6, LoadRunner) is a plus.
  • Experience testing in cloud environments is a plus (AWS, Azure, GCP)
  • Proficiency with SQL for data validation and test verification
  • Experience with agile/scrum methodologies and working in cross-functional teams
  • Strong analytical and problem-solving skills with attention to detail
  • Excellent written and verbal communication skills
  • Ability to learn and appropriately use new technologies to improve processes, communication, and outcomes, including AI-enabled tools where relevant to the role, consistent with university policy and job responsibilities.

Modes of Work
The work requirements allow both onsite and offsite work and an employee has an expected recurring onsite presence. On occasion, the employee may be required and must be available to work onsite more frequently if necessitated by unit leadership or their designee and/or the job requirements.
Additional Information
The mode of work for this position is Hybrid with a minimum of 4 days in the office per week, Monday through Thursday, with an option of remote work on Fridays. On occasion, you may be required and must be available to work onsite on Fridays if necessitated by our center's policy and domain leadership or by your job requirements.
Must have legal authorization to work in the United States.
The salary for this position will be based upon the selected candidate's education and experience.
Excellent benefits are available, for details, see http://benefits.umich.edu/
We support the creative, responsible, and ethical use of AI tools to enhance our work, in alignment with institutional policies and best practices.
Salary Information
The general salary range for this position is $75,000 - $80,000. Candidates can expect to be paid a competitive and equitable salary. Factors used to determine salary include education level, experience, knowledge and skills for the position and internal equity within the unit. All candidates are encouraged to discuss salary questions to honor alignment and transparency throughout the recruiting process.
Organizational Statement on Harassment
We believe all individuals deserve to be treated with respect and dignity and have the right to work in a professional atmosphere that promotes mutual respect and a safe space for collaboration. Any concerns shared with all non-confidential U-M employees (staff and student employees) in the Center for Academic Innovation will be reported to the Equity, Civil Rights, & Title IX Office to be reviewed and addressed, and the Center for Academic Innovation encourages reporting of any forms of harassment including sexual and gender-based harassment.
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act.
Application Deadline
Job openings are posted for a minimum of seven calendar days. This job may be removed from posting boards and filled anytime after the minimum posting period has ended.
Decision Making Process
Applications will be reviewed as received throughout the posting period and continue until the position is filled.
U-M EEO Statement
The University of Michigan is an equal employment opportunity employer.
Job Detail
Job Opening ID
277940
Working Title
Quality Assurance Engineer
Job Title
QA Analyst Intermediate
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Hybrid
Full/Part Time
Full-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
Vp Acad Innovation
Department
Center for Academic Innovation
Posting Begin/End Date
5/20/2026 - 6/19/2026
Salary
$75,000.00 - $80,000.00
Career Interest
Information Technology

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About University of Michigan

Sourced by ZipRecruiter

The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

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