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Full Time Remote Data Abstractor Jobs (NOW HIRING)

$15.75 - $21/hr

A leading recruitment agency is looking for a Remote Data Entry Clerk to work from home across the USA. This full-time role is suitable for freshers and offers comprehensive training.

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

This is a Full Time, remote, Data Science Analyst role. What You'll Do * Analysis, Model Development & AI Solutions: * Perform exploratory data analysis to identify patterns and opportunities in ...

Remote BCBA The BCBA Clinician practices under the close, ongoing supervision of the Clinical ... Maintain clinical paperwork (e.g., required forms, releases, reports, etc.), analyze data, and ...

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Full Time Remote Data Abstractor information

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$14

$25

$39

How much do full time remote data abstractor jobs pay per hour?

As of May 28, 2026, the average hourly pay for full time remote data abstractor in the United States is $25.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $31.97 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Remote Data Abstractor, and why are they important?

To thrive as a Full Time Remote Data Abstractor, you need strong attention to detail, analytical skills, and a background in health information management or a related field, often supported by relevant certification such as RHIA, RHIT, or CPC. Familiarity with electronic health records (EHRs), data abstraction software, and secure remote communication platforms is typically required. Excellent time management, self-motivation, and effective written communication distinguish top performers in this remote role. These skills ensure accurate, timely extraction of critical data, supporting quality reporting and compliance for healthcare organizations.

What are some typical challenges faced by full-time remote data abstractors, and how can they be addressed?

Full-time remote data abstractors often encounter challenges such as staying organized with large volumes of data, maintaining accuracy, and managing communication with team members who may be in different locations. To address these challenges, it's important to establish a structured daily workflow, use reliable data management tools, and schedule regular check-ins with supervisors or colleagues. Proactively seeking clarification on ambiguous data and participating in virtual team meetings can also help ensure accuracy and foster collaboration.

What is a Full Time Remote Data Abstractor?

A Full Time Remote Data Abstractor is a professional who reviews and extracts key information from various documents or databases, often within the healthcare, insurance, or research industries. Working remotely, they typically analyze medical records, input data into electronic systems, and ensure data accuracy and integrity. This role requires attention to detail, familiarity with relevant terminology, and adherence to privacy regulations. Full time remote positions offer the flexibility to work from home while performing these critical data management tasks.

What is the difference between Full Time Remote Data Abstractor vs Part Time On-site Data Abstractor?

AspectFull Time Remote Data AbstractorPart Time On-site Data Abstractor
Work EnvironmentRemote, home-basedOn-site, office or healthcare facility
CredentialsTypically requires data abstraction certifications or experienceSimilar credentials, often with healthcare or data management background
Employment TypeFull-time, salaried or hourlyPart-time, hourly or contractual
Industry UsageHealthcare, clinical research, insuranceHealthcare, clinical research, insurance

The main difference between a Full Time Remote Data Abstractor and a Part Time On-site Data Abstractor lies in their work environment and employment status. Remote abstractors work from home full-time, offering flexibility, while on-site abstractors work at healthcare facilities part-time. Both roles require similar credentials and industry experience, but their work settings and hours differ.

What are the most commonly searched types of Remote Data Abstractor jobs? The most popular types of Remote Data Abstractor jobs are:
What states have the most Full Time Remote Data Abstractor jobs? States with the most job openings for Full Time Remote Data Abstractor jobs include:
Infographic showing various Full Time Remote Data Abstractor job openings in the United States as of May 2026, with employment types broken down into 86% Contract, and 14% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $52,687 per year, or $25.3 per hour.
Remote Data Engineer I

$111.90K - $134.30K/yr

Full-time

Posted yesterday


Spartanburg Regional Healthcare System rating

6.6

Company rating: 6.6 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

554th of 864 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.


Employment Type: FULL_TIME

What Spartanburg Regional Healthcare System employees say

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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