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Remote Data Quality Reviewer Jobs in Springfield, IL

MSR Technology Group

ETL Data Engineer

Springfield, IL · Remote

$113.50K - $136.30K/yr

Senior Data Engineer - Azure / Python ETL Modernization Remote (U.S.) with Minimal travel (2-3x per ... Write clean, testable Python code for transformation, orchestration, and data quality * Integrate ...

DataAnnotation

Remote AI Quality Analyst

Springfield, IL · Remote

$20/hr

A data services company in the United States is seeking a 340B Analyst to join their team. In this ... flexible remote work hours, paid by the hour starting at $20+, with bonuses for high-quality work ...

DataAnnotation

Data Science Consultant

Springfield, IL · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Some coding experience required, with comfort writing and reviewing analytical code end-to-end.

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How much do remote data quality reviewer jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote data quality reviewer in Springfield, IL is $26.01, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $35.96 per hour, depending on experience, location, and employer.

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 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.
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Remote Data Quality Reviewer jobs near you
Infographic showing various Remote Data Quality Reviewer job openings in Springfield, IL as of May 2026, with employment types broken down into 73% Full Time, 18% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $54,098 per year, or $26 per hour.

Medicaid Business/QA Analyst

MSR Technology Group

Springfield, IL • Remote

Contractor

Posted 18 days ago

Job description

Medicaid Business / QA Analyst
  • 7–12+ Month Contract | Remote | No ThirdParty Firms | Medicaid SME Required
  • Candidates with previous State Medicaid program experience will be given strong consideration.
  • Drug screen and background check required as part of onboarding
Position Summary
The Medicaid Business/QA Analyst serves as a subject matter expert (SME) for Medicaid data and processes while performing quality assurance testing within a large-scale Enterprise Data Warehouse (EDW) environment. This position combines program knowledge—eligibility, claims, encounters, provider enrollment, managed care, and reporting—with QA discipline to ensure accuracy, completeness, and usability of EDW deliverables such as data marts, inbound source data loads, outbound extracts, reporting outputs, and operational dashboards.
Key Responsibilities1. Business SME – Medicaid Data & Processes
  • Interpret Medicaid data elements, business rules, and program logic for EDW initiatives.
  • Review inbound data from core systems (eligibility, provider, claims, managed care) for accuracy and mapping alignment.
  • Validate outbound extracts and reporting outputs for accuracy, timeliness, and format requirements.
  • Support development of data marts across eligibility, claims/utilization, provider, managed care, LTSS, and behavioral health.
2. QA Planning & Execution
  • Develop QA plans, scenarios, and test cases aligned to business rules.
  • Perform data reconciliation between source files and EDW target tables.
  • Validate transformations, aggregations, and derived fields.
  • Participate in User Acceptance Testing (UAT) with business stakeholders.
3. Data Quality & Issue Resolution
  • Identify data anomalies, mapping issues, and business rule gaps; work with data engineering and ETL teams to resolve.
  • Ensure referential integrity across eligibility, claims, provider, and plan datasets.
  • Define business data quality rules for ongoing monitoring.
  • Track and document issues in defect management tools.
4. Collaboration & Documentation
  • Work with business stakeholders, vendors, and technical teams to validate requirements and deliverables.
  • Review BRDs, mapping documentation, and data models for accuracy.
  • Maintain QA evidence, testing documentation, and business rule records.
  • Support knowledge transfer related to Medicaid data usage within the EDW.
Required Skills & Qualifications
  • Strong Medicaid business knowledge (eligibility, claims, encounters, provider, managed care).
  • Experience working with EDW environments, including inbound feeds, staging layers, integration layers, data marts, and outbound extracts.
  • Proficiency with SQL for validation and reconciliation.
  • Experience in data warehouse QA/testing, including validating data transformations and dimensional models.
  • Ability to translate Medicaid program rules into testable acceptance criteria.
  • Familiarity with HIPAA compliance and PHI guidelines.
  • Excellent analytical, documentation, and communication skills.
Preferred Qualifications
  • Experience with Medicaid EDW or MMIS modernization projects.
  • Familiarity with provider handbooks, policy documentation, or administrative rules.
  • Experience with managed care data (capitation, encounters, member assignments).
  • Experience validating dashboards or reports in tools such as Tableau, Power BI, or Cognos.
  • Background in data governance or metadata management.