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Remote Data Quality Reviewer Jobs in Springfield, IL

MSR Technology Group

ETL Data Engineer

Springfield, IL · Remote

$113K - $136K/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 ...

DATAMAXIS

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117K - $140K/yr

Define and enforce coding standards, code review practices, branching strategies, and release ... Deep hands-on expertise with Azure Data Factory: pipelines, datasets, linked services, triggers ...

TSMG

Data collector / Driver

Springfield, IL · Remote

... the best quality of imaging. The project is expected to last at least 3 months and will cover ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

micro1 AI

Private Funds Attorney - Remote

Springfield, IL · Remote

$90 - $130/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... refine data, guidelines, and best practices for AI-driven contract review solutions. Required ...

Intuit

Post Sales Solutions Engineer

Springfield, IL · Remote

$125K - $170K/yr

... data migration roadblocks. * Reduced Portfolio Execution: Directly manage a 50% load of standard to ... Quality Assurance (QA) & Readiness: Conduct "Go-Live Readiness" reviews for squad members to ensure ...

Intuit

Post Sales Solutions Engineer

Springfield, IL · Remote

$125K - $170K/yr

... data migration roadblocks. * Reduced Portfolio Execution: Directly manage a 50% load of standard to ... Quality Assurance (QA) & Readiness: Conduct 'Go-Live Readiness' reviews for squad members to ensure ...

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Remote Data Quality Reviewer information

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

As of Jul 29, 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 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 does a data quality reviewer do?

A data quality reviewer evaluates datasets to ensure accuracy, completeness, and consistency by identifying and correcting errors. They often use data management tools and follow established standards to maintain high data integrity, supporting reliable decision-making within 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.

How to make $1000 a week remote?

A Remote Data Quality Reviewer can earn $1000 or more weekly by working full-time hours, often 40 hours per week, and gaining experience or certifications in data management and quality assurance. Increasing income may involve taking on multiple clients, working for companies with higher pay rates, or developing specialized skills in data tools and validation processes.

How can I make 2000 a week working from home?

A Remote Data Quality Reviewer can potentially earn $2,000 per week by working full-time hours, often requiring strong attention to detail, data management skills, and familiarity with data validation tools. Increasing earnings may involve taking on multiple clients, gaining certifications, or working overtime, depending on the employer's pay structure and workload. Consistent high performance and efficiency are key to reaching this income level in remote data review roles.

How to identify fake data entry jobs?

To identify fake data entry jobs, verify the company's legitimacy through official websites and reviews, and be cautious of jobs that require upfront payments or promise unusually high pay for minimal work. Legitimate data entry roles typically do not ask for sensitive personal information early in the application process and provide clear job descriptions and contact details. Using reputable job boards and avoiding offers that seem too good to be true can help prevent scams.

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 popular job titles related to Remote Data Quality Reviewer jobs in Springfield, IL? For Remote Data Quality Reviewer jobs in Springfield, IL, the most frequently searched job titles are:
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What cities near Springfield, IL are hiring for Remote Data Quality Reviewer jobs? Cities near Springfield, IL with the most Remote Data Quality Reviewer job openings:
Remote Data Quality Reviewer jobs near you

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.