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Remote Data Quality Jobs in Michigan (NOW HIRING)

Cloud Data Engineer

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

Familiarity with open-source data quality frameworks. Working Conditions: * Office environment. * The location may be based in Detroit or fully remote. * Occasional evening, weekend, and holiday ...

Job#: 3035362 Sr. Autonomous Vehicle Data & Quality Analyst Location: Remote Employment Type: Contract Pay rate: $55-62/hr Role Overview We are seeking a Senior Autonomous Vehicle Data & Quality ...

Data Analyst

Zeeland, MI · Remote

$70K - $120K/yr

Identify gaps in data quality and implement improvement solutions * Independently research and ... We will not consider remote candidates. Pay Details: $70,000.00 to $120,000.00 per year Search ...

... ensure data quality and analytical integrity. * Designing and deploying lightweight internal ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Cut through ambiguity by asking the right questions early about data quality, schema evolution, and downstream dependencies, and identify risks before they become crises * Translate complex data ...

Detroit ,MI OR Remote Duration - Contract-to-Hire after 6 Months Employment Type - This is for W2 ... We help clients get work done more efficiently and economically, without compromising quality.

REMOTE * Opportunity for advancement ServiceNow IRM Specialist Remote We are seeking a skilled ... data quality, reporting, and dashboards align with risk and compliance objectives. - Support the ...

Senior Remote Consultant

Birmingham, MI · Remote

$120K - $149.75K/yr

Remote, USA Employment Type: Full-Time Compensation: $120,000.00 - $149,750.00 (Range applies to US ... HFM (Hyperion Financial Management), FDM (Financial Data Quality Management), Upstream, Hyperion ...

Senior Remote Consultant

Rochester, MI · Remote

$120K - $149.75K/yr

Remote, USA Employment Type: Full-Time Compensation: $120,000.00 - $149,750.00 (Range applies to US ... HFM (Hyperion Financial Management), FDM (Financial Data Quality Management), Upstream, Hyperion ...

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Remote Data Quality information

What is the difference between Remote Data Quality vs Remote Data Analyst?

AspectRemote Data QualityRemote Data Analyst
Required CredentialsData quality certifications, SQL, data management skillsData analysis certifications, SQL, statistical skills
Work EnvironmentFocus on data accuracy, validation, and cleansingFocus on data interpretation, reporting, and insights
Employer & Industry UsageUsed in data governance, compliance, and database managementUsed in business intelligence, marketing, and operations

Remote Data Quality specialists primarily focus on ensuring data accuracy, consistency, and integrity within databases, often working on data validation and cleansing. Remote Data Analysts interpret data sets to generate reports and insights for decision-making. While both roles require strong SQL and data management skills, Data Quality roles emphasize data validation processes, whereas Data Analysts focus on analysis and visualization.

What are the most commonly searched types of Data Quality jobs in Michigan? The most popular types of Data Quality jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Quality jobs? Cities in Michigan with the most Remote Data Quality job openings:
Infographic showing various Remote Data Quality job openings in Michigan as of May 2026, with employment types broken down into 84% Full Time, 10% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.
Cloud Data Engineer

Cloud Data Engineer

Detroit Tigers

Detroit, MI • On-site, Remote

$113.40K - $136.10K/yr

Full-time

Posted 8 days ago


Job description

Job Summary: The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be responsible for designing, managing, and automating data processes across our data architecture to support Baseball Operations initiatives, including the deployment and operationalization of machine learning models. This position will report to the Manager, Baseball Systems Data.

Key Responsibilities:

  • Design, implement, and maintain our data architecture and processing pipelines at scale.
  • Design, implement, and use data quality assurance frameworks to support the process of identifying inconsistent data patterns.
  • Collaborate with Tigers data engineers and data scientists to implement good data hygiene practices and procedures in our data processes.
  • Work with external data vendors to triage and remedy data quality issues.
  • Automate and execute test cases in data pipelines and manage data issue tracking.
  • Build and maintain MLOps infrastructure to support the deployment, monitoring, and retraining of machine learning models in production.
  • Partner with data scientists to productionize models, ensuring reproducibility, scalability, and reliability across the ML lifecycle.

Minimum Knowledge, Skills and Abilities:

  • Proficiency building data processing pipelines using SQL and Python.
  • Experience with cloud computing, cloud storage, and cloud services.
  • Experience with cloud-based data lakes, data warehouses, and related tooling.
  • Strong understanding of data strategies and practices, such as continuous integration, regression testing, and versioning.
  • Experience building, maintaining, and querying SQL data warehouses built for data science and analytics.
  • Familiarity with MLOps concepts and tooling, including model serving, monitoring, and pipeline orchestration.

Preferred Knowledge, Skills and Abilities:

  • Understanding of data quality frameworks and best practices for implementation.
  • Familiarity with baseball and with current baseball research.
  • Experience using Apache Spark (Databricks on Azure preferred).
  • Experience with Airflow or similar workflow orchestration tools.
  • Effective communication skills with an ability to explain technical concepts to developers and business partners.
  • Experience with DevOps and MLOps practices for CI/CD pipelines, including model versioning and experiment tracking.
  • Experience working with containers and container deployment, including containerized model serving.
  • Familiarity with open-source data quality frameworks.

Working Conditions:

  • Office environment.
  • The location may be based in Detroit or fully remote.
  • Occasional evening, weekend, and holiday hours are required.

All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Detroit Tigers.


Detroit Tigersis an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.


The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.

PRIVACY POLICY