2

Remote Data Quality Reviewer Jobs in Springfield, IL

Fully remote across the continental U.S., with a team that's warm and grounded and doesn't treat ... Perform data profiling and quality review and analysis. * Perform data quality assessments and ...

IL EDW Data Modeler

Springfield, IL · Remote

$54.25 - $70.25/hr

Senior Health Data Modeler (Healthcare EDW) - Remote Remote (Must reside within the Continental U.S ... Support data governance, data quality, and compliance initiatives * Collaborate with architects ...

Senior Data Engineer

Springfield, IL · Remote

$105K - $142K/yr

Participate in code reviews, source control, and CI/CD processes Required Qualifications * 5+ years ... quality, reconciliation, and audit processes * Azure certifications Why Apply? * 100% Remote

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... authoring and reviewing complex safety reports, passionate about data quality, and committed to ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... authoring and reviewing complex safety reports, passionate about data quality, and committed to ...

... 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 ...

next page

Showing results 1-20

Remote Data Quality Reviewer information

See Springfield, IL salary details

$12

$26

$42

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

As of Aug 22, 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 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 job categories do people searching Remote Data Quality Reviewer jobs in Springfield, IL look for?

The top searched job categories for Remote Data Quality Reviewer jobs in Springfield, IL are:

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:

MDM Data Quality Analyst

CSpring

Springfield, IL • Remote

Full-time

Posted 18 days ago


Job description

Description

At CSpring, we believe in the power of data to drive decisions and real-world impact. We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results.  


We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here.


Why You'll Love Working Here

  • Purposeful Projects - Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.
  • People-First Culture - We're as committed to your growth as we are to delivering high-impact solutions. You'll find support, autonomy, and community here.
  • Strategic, Hands-On Work - From data architecture and documentation to client workshops and solution delivery, you'll influence every step of the process.
  • Collaborative Trust - Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.

What You'll Do

CSpring partners with government and healthcare organizations to solve complex problems through data, technology, and people. This role supports the Health and Human Services Innovation Incubator (HHSi2), a statewide Master Data Management initiative in Illinois building one trustworthy view of the residents the State serves across every agency that touches them. When the same person exists as four separate records, eligibility stalls and programs double-count - the analysis you do here is what makes cross-agency data reliable enough to act on.

Why You'll Love Working Here

  • The records you reconcile feed eligibility and service decisions across multiple State agencies. A duplicate client record here isn't a dashboard blemish - it's someone waiting longer than they should for benefits they qualify for.
  • Statewide MDM is genuinely hard. You'll work across agency data that was never designed to be joined, on an Informatica MDM platform serving cross-agency programs - the kind of matching and survivorship problem you can't get real practice on with a tidy dataset.
  • CSpring teams are small enough that you'll own a finding end to end. You'll profile it, document the remediation recommendation, and be the person who walks the client through it rather than handing it up a chain.
  • HHSi2 spans data governance, interoperability, cloud modernization, and analytics. Whether you want to go deeper into MDM architecture or wider into stewardship and governance, both directions exist on this program.
  • Fully remote across the continental U.S., with a team that's warm and grounded and doesn't treat "remote" as a reason to be hard to reach.

What You'll Do

Working under the guidance of the MDM Technical Lead, you'll perform the data analysis, quality assessment, testing, and validation work that keeps MDM operations accurate and dependable:

  • Develop and maintain complex SQL queries to support MDM solutions, and support SQL analysis, data validation, and data analysis reporting activities.
  • Collaborate with project teams supporting database objects such as tables, stored procedures, and views for MDM.
  • Perform script execution, and maintain, develop, and modify existing programs to meet system and design specifications.
  • Participate in unit, integration, and system testing.
  • Perform data profiling and quality review and analysis.
  • Perform data quality assessments and document findings, recommendations, and remediation opportunities.
  • Analyze data anomalies, matching issues, and client/member record quality concerns.
  • Gather business requirements and prepare analyses based on information from internal and external sources to evaluate and demonstrate effectiveness and efficiency supporting projects and change requests.
  • Participate in project discussions to document and recommend alternative technical solutions or requirements.
  • Support data governance and data stewardship activities and assist users during User Acceptance Testing (UAT) and production validation.
  • Improve the delivery and management of health and human services programs through data analytics and quality reviews.


Requirements

What You Bring

  • 5+ years of experience in data analysis, data quality, MDM, business analysis, data governance, and data management.
  • Experience working with MDM platforms such as Informatica MDM.
  • Experience gathering and documenting business and technical requirements.
  • Experience performing data profiling, data validation, testing, reconciliation, and data quality analysis.
  • Experience supporting QA, UAT, or system testing activities.
  • SQL experience, with large MDM and large relational DBMS.
  • Experience with data quality, matching, unique client/member identifier, standardization, reconciliation, and data governance concepts.
  • Strong analytical, problem-solving, and data validation skills.
  • Experience supporting MDM operations, issue resolution, testing activities, and SDLC delivery.
  • Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, or equivalent experience.

Preferred Qualifications

  • Experience working in other MDM tools, including cloud-native MDM solutions.
  • Experience working in State government, public sector, or regulated environments.
  • Experience with Agile/Scrum sprint development and iterative/incremental delivery.
  • Experience with healthcare, Medicaid, claims, eligibility, provider, or Health and Human Services data.
  • Exposure to Python scripting for automation, testing, data validation, or profiling activities.
  • Exposure to interoperability formats such as X12, EDI, XML, JSON, APIs, or HL7/FHIR.
  • Exposure to cloud data platforms or modernization initiatives such as Azure, ADF, Databricks, Snowflake, or Data Lake.
  • Experience with on-prem-to-cloud migration, MDM modernization, or EDW / ETL modernization initiatives.
  • Exposure to automation, AI/ML, GenAI, or LLM-assisted engineering for development, testing, documentation, profiling, or data quality.
  • Ability to operate in a telecommute environment and matrix organization with minimal direction.

Come Build With Us

At CSpring, we unlock the potential of people and data. If you're ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment-apply today!