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Remote Data Quality Reviewer Jobs (NOW HIRING)

Remote Data Modeling

$56 - $72.75/hr

Remote Data Modeling Woburn, MA, United States $ 64.00 - 65.00 (US Dollar) Remote Data Modeling ... quality and production metrics and ensure requirements are scalable.

Job Summary RN Clinical Quality Reviewer TEEMA Full-time Remote | Phoenix, AZ, United States ... Exposure to healthcare data analysis or reporting Technical Skills * Proficiency with Microsoft ...

You'll lead a team tasked with proactively querying databases, reviewing data and dashboards ... Full remote flexibility and asynchronous work culture * Unlimited PTO and fully paid sick leave

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 ...

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.

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

As of Jun 29, 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.
More about Remote Data Quality Reviewer jobs
What cities are hiring for Remote Data Quality Reviewer jobs? Cities with the most Remote Data Quality Reviewer job openings:
What are the most commonly searched types of Data Quality Reviewer jobs? The most popular types of Data Quality Reviewer jobs are:
What states have the most Remote Data Quality Reviewer jobs? States with the most job openings for Remote Data Quality Reviewer jobs include:
Infographic showing various Remote Data Quality Reviewer job openings in the United States as of June 2026, with employment types broken down into 73% Full Time, 7% Part Time, 7% Temporary, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $54,583 per year, or $26.2 per hour.
Remote Data Engineer I

Remote Data Engineer I

Spartanburg Regional Medical Center

Spartanburg, SC • On-site, Remote

$111K - $134K/yr

Full-time

Posted 23 hours ago


Key responsibilities

  • Assists with build and refresh activities using approved data architecture designs.

  • Supports data ingestion and ETL processes including basic troubleshooting and data quality validation.

  • Collaborates with engineers and developers to learn enterprise data standards and development patterns.


Spartanburg Regional Healthcare System rating

6.6

Company rating: 6.6 out of 10

Based on 115 frontline employees who took The Breakroom Quiz

561st of 877 rated healthcare providers


Job description

Job Requirements
Build the Foundation for Data Driven Healthcare and Join Us as Our Next Remote Data Engineer I!
Location: 100% Remote | Applicants must reside in one of the following states: AL, AZ, CT, DE, FL, GA, IN, KS, KY, LA, MD, MI, NC, PA, RI, SC, VA, WV, or WI.
Why Choose Spartanburg Regional Healthcare System
Spartanburg Regional Healthcare System is a forward thinking, community focused healthcare organization that has served the Upstate for more than 100 years. SRHS is committed to leveraging data, analytics, and emerging technologies to improve patient outcomes, support clinical decision making, and advance innovation across the enterprise.
Team members at SRHS work in a collaborative environment that values learning, growth, and continuous improvement. Our data and analytics teams play a critical role in delivering trusted data that supports both business intelligence and advanced AI driven solutions.
Step Into a Role That Builds Trusted Data at Scale
Remote Data Engineer I
The Remote Data Engineer I supports the implementation and maintenance of data pipelines and curated datasets that ensure data quality, consistency, and readiness for analytics and AI use cases. This role focuses on foundational data engineering activities, assisting with preparation, validation, and documentation of data so it is accurate, secure, and accessible for self-service reporting and advanced analytics.
Working under the guidance of senior data engineers, this role develops skills in data curation, governance, and pipeline development while contributing to the delivery of reliable, optimized datasets that support both operational reporting and enterprise analytics initiatives. This is a fully remote position.
What You Bring to the Table
Educational Foundation
  • Bachelor's or Master's degree in Computer Science, Mathematics, or Information Systems

Professional Experience
  • Minimum of 5 years of Business Intelligence or comparable data engineering experience (healthcare experience preferred)
  • Strong communication and analytical skills
  • Proficiency with Microsoft BI tools, T SQL, ETL processes, data modeling, and data visualization
  • Strong understanding of SQL and relational database concepts
  • Familiarity with Epic applications and Epic database structures

Licenses and Certifications
  • Relevant Epic Data Model or Microsoft development certifications preferred
  • Certifications may include but are not limited to:
  • Epic Radar, Reporting Workbench Administration, Clarity Data, Caboodle, Slicer Dicer
  • Epic Revenue Cycle, Shared Clinical, Grand Central, and related specialties
  • AI development including machine learning and analytics platforms
  • Microsoft Fabric development including Data Warehouse, Lakehouse, and ETL tools
  • Microsoft SQL certifications

What You Will Learn and Deliver
  • Assists with build and refresh activities using approved data architecture designs
  • Supports data ingestion and ETL processes including basic troubleshooting and data quality validation
  • Collaborates with engineers and developers to learn enterprise data standards and development patterns
  • Ensures compliance with data governance, security, performance, and privacy standards
  • Executes assigned project requests exceeding 40 hours under supervision
  • Contributes to continuous improvement of data reliability and usability
  • Performs additional duties as assigned

Technologies and Work Areas You Will Support
  • Azure Databricks
  • Epic Caboodle development internal and external
  • Cogito Extract Scheduler
  • Cogito Reporting Workbench SQL
  • Cogito SQL Metrics
  • Copilot Studio agent development and management
  • Data agent development and management
  • Epic claims ingestion workflows
  • Microsoft Fabric Data Warehouse, Lakehouse, and ETL development
  • Power Platform applications
  • Power BI semantic model development and management
  • Slicer Dicer data model development and management
  • Other assigned or extended project requests

Take the Next Step
If you are ready to grow your data engineering skills, support meaningful analytics initiatives, and contribute to trusted data solutions that power healthcare innovation, we encourage you to apply today. Join Spartanburg Regional Healthcare System and help build the data foundation that supports smarter decisions and better patient care.

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About Spartanburg Regional Healthcare System

Sourced by ZipRecruiter

Spartanburg Regional Healthcare System is a leader in the healthcare industry, located in Spartanburg, SC, US. As a comprehensive health system, it offers services encompassing everything from wellness, prevention, and care coordination to specific medical treatments for a wide range of diseases and health issues. Spartanburg Regional Healthcare System was founded in 1921 and has since developed a reputation for excellence and innovative care, growing to include six hospitals, 100 medical offices, 8,000 associates and more than 900 medical staff.

Industry

Recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Spartanburg, SC, US

Year founded

1921