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Remote Data Quality Reviewer Jobs (NOW HIRING)

Guidehouse

Remote IP Quality Reviewer

$56K - $94K/yr

The Coding Quality Reviewer shall report directly to the Internal Quality Control Director and will be responsible for accessing and reviewing the medical record documentation, coding and abstracting ...

Futran Tech Solutions Pvt. Ltd.

Data Quality Engineer

$117K - $140K/yr

Remote Job Type: Contract As an Data QA Lead you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.

The Select Group

Data Quality Analyst

Tukwila, WA · Remote

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance Consultant to drive enterprise-level data integrity and compliance within a large-scale financial services ...

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

As of Jun 6, 2026, the average hourly pay for remote data quality reviewer in the United States is $26.24, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $36.30 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 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 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.
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Remote Data Quality Reviewer jobs near you
Infographic showing various Remote Data Quality Reviewer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $54,583 per year, or $26.2 per hour.

Data Quality Analyst

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

Posted 17 days ago

Job description

Position: Data Quality Analyst
Location: Remote
This is remote role however we are looking for candidates based in central or mountain zone because that's what the timings they must work in.
Try to look for candidates from healthcare background.
What is in it for you?
Looking for a seasonal Data Quality Analyst who will ensure data accuracy, consistency, and reliability by performing data profiling, cleaning, validation, integration, and continuous monitoring while
collaborating with stakeholders to resolve data quality issues.
Roles and Responsibilities
• Data Profiling: Profiling is the process of looking at the structure, patterns, and content of data to find problems like missing information or mistakes. It helps analysts spot hidden issues that could affect the quality of the data.
• Data Cleaning: Cleaning involves correcting or excluding inaccurate, incomplete, or irrelevant data to maintain an error-free dataset for further analysis.
• Data Validation: is carried out to ensure that the data meets predefined standards and business rules. This process confirms that data is accurate, with all required fields populated, correct data types, and values within acceptable ranges.
• Data Integration: Integration is the merging of data from different sources into a unified view. A data quality analyst makes sure that data is consistent and compatible and resolves discrepancies that arise during the integration process.
• Data Monitoring: involves continuously tracking and data to confirm its accuracy, consistency, and reliability over time. A data quality analyst keeps an eye on the data at regular intervals to ensure its accuracy and consistency so that any new problems can be rapidly identified.
Educational Qualifications:
Engineering Degree - BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Mandatory skills
• Requirement gathering, Requirement writing, good communication skills, SQL (Structured Query Language), ETL (extract, transform, and load) tool knowledge for data migration.
• Create and update requirements artifacts such as Solution Requirements Specifications, use cases, and other artifacts as needed for incorporating in google platform. Responsible for ensuring each artifact complies with quality standards set out by the Requirements Team leadership, and for conducting and facilitating requirements review sessions to ensure understanding across business and IT groups.
• Recommend Data quality rules, create data profiles, perform data cleaning and validation, data integration.
• Responsible for maintaining those requirements through the life of the project and raising awareness with mitigating strategies when issues arise that may impact budget or timelines.
• Validate and get all the requirements reviewed by client teams
• Act as a liaison between the delivery teams that are engaged in implementing the solution and the business partners that will be using the solution, as well as interact daily with development engineers and QA analysts.
• Desired Skills: Healthcare domain, Python, R
• Candidate should be fine to work in Central or Mountain times.

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