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Remote Data Quality Reviewer Jobs in Michigan (NOW HIRING)

ABC Legal Services

$15/hr

The e-File Specialist reviews and files legal documents utilizing online platforms and tools ... This position is remote but must be located in Kentucky. Key Responsibilities: * Review and file ...

Henry Ford Health

Supervisor-Inpatient Coding

Troy, MI · Remote

... data-driven solutions that enhance efficiency and accuracy * Conduct audits and quality reviews, providing constructive feedback that elevates team performance and ensures regulatory compliance

aspensurgical

Supplier Quality Manager

Caledonia, MI · Remote

Conduct regular supplier performance reviews, identifying underperforming suppliers and driving ... Plan and execute a risk-based supplier audit program, conducting on-site and remote quality system ...

micro1 AI

AI Trainer - Microbiology Expert

Lansing, MI · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Utilize rubrics and established evaluation criteria to assess data quality and support AI training ...

micro1 AI

AI Trainer - Microbiology Expert

Warren, MI · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Utilize rubrics and established evaluation criteria to assess data quality and support AI training ...

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Remote Data Quality Reviewer information

What is a remote data quality reviewer?

A Remote Data Quality Reviewer is a professional who evaluates and ensures the accuracy, completeness, and reliability of data collected or processed by an organization, all while working from a remote location. Their duties often include checking data for errors, inconsistencies, or missing information, and recommending corrections or improvements. They may work with various types of data, such as customer records, survey responses, or financial information, depending on the industry. This role is crucial for maintaining high data standards and supporting decision-making processes within a company.

What are the key skills and qualifications needed to thrive as a remote data quality reviewer, and why are they important?

To thrive as a Remote Data Quality Reviewer, you generally need strong analytical abilities, attention to detail, and experience with data validation, often supported by a bachelor's degree in a relevant field such as statistics, computer science, or information management. Familiarity with data management tools, spreadsheet software (like Excel), and database systems, as well as knowledge of quality assurance frameworks, is typically required. Excellent written communication, critical thinking, and the ability to work independently are important soft skills for this remote position. These capabilities ensure accurate data assessment, help maintain data integrity, and contribute to reliable decision-making across organizations.

What are some common challenges faced by remote data quality reviewers, and how can they be addressed?

Remote Data Quality Reviewers often encounter challenges such as managing large data sets, maintaining focus during repetitive review tasks, and ensuring effective communication with distributed teams. Staying organized with clear workflow tools and setting regular check-ins with team members can help mitigate feelings of isolation and prevent errors. Additionally, leveraging automated validation tools and maintaining up-to-date documentation ensures consistency and accuracy in data review processes.

What are popular job titles related to Remote Data Quality Reviewer jobs in Michigan?

For Remote Data Quality Reviewer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Data Quality Reviewer jobs in Michigan look for?

The top searched job categories for Remote Data Quality Reviewer jobs in Michigan are:

What cities in Michigan are hiring for Remote Data Quality Reviewer jobs?

Cities in Michigan with the most Remote Data Quality Reviewer job openings:

Remote Data Quality Reviewer jobs near you
Infographic showing various Remote Data Quality Reviewer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Data Integration Engineer- ERP Systems (Remote)

NN, Inc.

Kentwood, MI • Remote

$43.27 - $60.10/hr

Full-time

Re-posted 21 days ago

Key responsibilities

  • Understand and map ERP system data structures, including tables, fields, relationships, and business logic.

  • Translate business reporting requirements into accurate data models and query logic, and produce source-to-target mapping documents.

  • Partner with data lake, Alteryx, and Power BI teams to ensure extracted data is structurally sound, semantically correct, and reporting-ready.

Job description

Position Summary

The Data Integration Engineer is responsible for understanding and mapping ERP system data structures — including tables, fields, and business logic — to support enterprise reporting and integration needs. This role bridges the gap between raw ERP data and our analytics platforms, ensuring the underlying data is accurately understood, extracted, and made query-ready for downstream consumption by our data lake, Alteryx, and Power BI development teams.

The ideal candidate possesses deep, hands-on expertise with QAD and Progress OpenEdge and a proven ability to translate complex, often undocumented source-system data into accurate, reliable models that support manufacturing, supply chain, quality, logistics, customer, and supplier reporting needs. Experience with other major ERP platforms is a plus but does not substitute for QAD/Progress OpenEdge expertise. Comfort using modern AI-assisted tools to accelerate this work is also a plus.

Essential Responsibilities

ERP Data Mapping & Schema Expertise

  • Document and map ERP data structures — tables, fields, relationships, and embedded business logic — across QAD, Progress OpenEdge, and other source systems.
  • Serve as the subject matter expert on "what does this field/table actually mean" for source ERP systems, filling a critical knowledge gap between raw data and reporting.
  • Translate business reporting requirements into accurate data models and query logic.
  • Reverse-engineer schemas and data relationships in systems with limited or outdated documentation.
  • Produce and maintain source-to-target mapping documents for each extracted table/field, capturing transformation logic and business rules.
  • Build and maintain a living data dictionary for QAD/Progress OpenEdge (and other source systems as needed), documenting field definitions, valid values, and business meaning so this knowledge is captured as a durable asset rather than tribal knowledge.

Integration, Data Lake & Reporting Support

  • Partner closely with the data lake, Alteryx, and Power BI development teams to ensure extracted data is structurally sound, semantically correct, and reporting-ready.
  • Design extractions with the data lake as the landing target — feeding raw and curated lake layers (OCI Object Storage / Oracle ADB) — rather than building one-off, point-to-point extracts for individual reports.
  • Build and support interfaces using database integrations, ODBC connections, and file-based transfers as needed to support extraction work.
  • Troubleshoot data quality and mapping issues and implement corrective actions to maintain data integrity.
  • Monitor data flows and proactively identify opportunities for process optimization.
  • Opportunity to contribute to on-premise LLM integration work (e.g., connecting ERP/data lake content to locally hosted models) for internal AI-assisted data mapping, documentation, and query tooling.

Data Management & Governance

  • Ensure data accuracy, consistency, and synchronization across enterprise systems.
  • Develop validation, reconciliation, and exception-handling processes.

Collaboration & Project Delivery

  • Partner with business stakeholders across:
  • Collaborate closely with the data lake, Alteryx, and Power BI developers to ensure data feeding their platforms is accurate and usable.
  • Translate business requirements into technical data-mapping solutions.
  • Participate in project planning, estimation, documentation, testing, and deployment activities.
  • Provide technical guidance and best practices for ERP data structure and integration architecture.

Security & Compliance

  • Ensure data handling and integrations comply with company cybersecurity standards.
  • Support compliance requirements related to automotive customer expectations and industry standards.
  • Maintain proper documentation, version control, and change management processes.

Education

  • Bachelor's degree in:
  • Equivalent combination of education and experience may be considered.

Experience

  • 5+ years of experience in data integration, ERP systems, or enterprise application development.
  • 3+ years supporting manufacturing organizations.
  • Required: Hands-on experience with QAD and Progress OpenEdge, including reading/interpreting Progress OpenEdge 4GL data structures and business logic embedded in legacy schemas.
  • Demonstrated experience mapping, documenting, or reverse-engineering ERP data structures — not just building integrations against them — with concrete work product such as mapping documents or data dictionaries.

Technical Skills

  • Strong SQL skills for querying, troubleshooting, and reverse-engineering unfamiliar or undocumented schemas.
  • Experience reading and interpreting ERP data dictionaries, table relationships, and business logic embedded in legacy systems (e.g., Progress OpenEdge 4GL structures).
  • Ability to translate business reporting questions into accurate source-system queries.
  • Experience with:
  • Knowledge of:

Preferred Qualifications

  • Experience with one or more additional major ERP platforms, such as SAP S/4HANA, SAP ECC, Oracle ERP, Microsoft Dynamics 365, Infor LN, Plex, or Epicor.
  • Familiarity with Alteryx and/or Power BI, or other reporting/ETL platforms.
  • Experience with SOAP services, DevOps, CI/CD pipelines, and source control systems.
  • Experience with on-premise/self-hosted LLM deployment (e.g., Ollama, Open WebUI) or integrating internal data sources with locally hosted AI models.
  • Project management experience or PMP certification.
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