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Remote Rn Data Abstractor Jobs in West Chester, PA

myLaurel

Director of Partner Operations

Philadelphia, PA · On-site +1

$150K - $160K/yr

Active or prior experience as a Registered Nurse (RN), Paramedic, or Social Worker is strongly ... If you would like more information about how your data is processed, please contact us.

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Remote Rn Data Abstractor information

See West Chester, PA salary details

$7

$40

$68

How much do remote rn data abstractor jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for remote rn data abstractor in West Chester, PA is $40.01, according to ZipRecruiter salary data. Most workers in this role earn between $29.81 and $47.36 per hour, depending on experience, location, and employer.

How much does a nurse abstractor make?

A remote RN data abstractor typically earns between $20 and $35 per hour, depending on experience, certifications, and the complexity of the data being handled. Annual salaries can range from approximately $40,000 to $70,000. Many roles also offer flexible schedules and require familiarity with electronic health records (EHR) systems.

What are the typical daily responsibilities of a Remote RN Data Abstractor?

As a Remote RN Data Abstractor, your daily responsibilities generally include reviewing electronic health records and extracting key clinical data according to specific project or regulatory guidelines. You'll input this information into secure databases, ensure accuracy, and follow up to clarify any ambiguous or incomplete documentation with healthcare providers. While you may work independently, periodic virtual meetings and collaboration with clinical quality teams or project managers are common. Staying organized and up-to-date with changing guidelines is also a key part of the role, making attention to detail and self-motivation particularly important.

What is a Remote RN Data Abstractor job?

A Remote RN Data Abstractor is a registered nurse who reviews and extracts clinical data from medical records for quality improvement, compliance, and research purposes. They work remotely, analyzing patient charts to ensure accuracy and adherence to healthcare guidelines. This role often requires experience with electronic health records (EHRs), attention to detail, and knowledge of medical coding and terminology. It is commonly used for quality reporting, accreditation, or clinical registry submissions.

What does an RN data abstractor do?

An RN data abstractor reviews and extracts relevant clinical information from medical records to ensure accurate data collection for research, quality improvement, or billing purposes. They typically use electronic health record systems and must have strong attention to detail and knowledge of medical terminology and coding standards.

How to become a nurse data abstractor?

To become a nurse data abstractor, you typically need a registered nurse (RN) license and experience in clinical documentation or medical records. Familiarity with electronic health record (EHR) systems and attention to detail are essential, and some employers may require certification in health information management or coding. Strong analytical skills and knowledge of healthcare data standards are also beneficial.

What is the highest paid remote nursing job?

The highest paid remote nursing jobs typically include roles such as Nurse Informaticists, Nurse Consultants, and Clinical Data Managers, with salaries often exceeding $100,000 annually. These positions require specialized skills in healthcare data, informatics, and certifications like ANCC or ANCC Informatics Certification, and they often involve working independently or with healthcare organizations to analyze and improve patient care data remotely.

What are the key skills and qualifications needed to thrive in the Remote Rn Data Abstractor position, and why are they important?

To excel as a Remote RN Data Abstractor, you need a current RN license, strong clinical knowledge, and experience with medical record review and data abstraction. Familiarity with electronic health records (EHRs), medical coding systems such as ICD-10, and clinical quality measures is highly beneficial. Strong attention to detail, time management, and effective written communication are crucial soft skills in this remote position. These competencies ensure accurate and efficient data collection, support compliance with regulatory standards, and enable seamless collaboration across distributed healthcare teams.

What are the most commonly searched types of Rn Data Abstractor jobs in West Chester, PA? The most popular types of Rn Data Abstractor jobs in West Chester, PA are:
What are popular job titles related to Remote Rn Data Abstractor jobs in West Chester, PA? For Remote Rn Data Abstractor jobs in West Chester, PA, the most frequently searched job titles are:
What job categories do people searching Remote Rn Data Abstractor jobs in West Chester, PA look for? The top searched job categories for Remote Rn Data Abstractor jobs in West Chester, PA are:
What cities near West Chester, PA are hiring for Remote Rn Data Abstractor jobs? Cities near West Chester, PA with the most Remote Rn Data Abstractor job openings:
Remote Rn Data Abstractor jobs near you
Infographic showing various Remote Rn Data Abstractor job openings in West Chester, PA as of July 2026, with employment types broken down into 3% Locum Tenens, 45% Internship, 3% Full Time, 48% Nights, and 1% Summer. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution, with an average salary of $83,212 per year, or $40 per hour.
Senior Data Engineer - Analytics

Senior Data Engineer - Analytics

Cybercoders

Philadelphia, PA • Remote

$107K - $145K/yr

Full-time

Re-posted 13 days ago

Job description

Senior Data Engineer - Analytics

Senior Data Engineer, Analytics

Location: 100% Remote
Position Overview
We are seeking an experienced Analytics Engineer to join our data team and build reliable, scalable analytics infrastructure that turns data into actionable insights. The role is focused on designing and implementing data models, transformation pipelines, and APIs that power dashboards, ML features, and downstream systems. You will work closely with data scientists, analysts, and engineers to standardize metrics, improve data quality, and enable self-service analytics across the organization.
Key Responsibilities

  • Design, develop, and maintain robust ELT/ETL data transformation pipelines using dbt Core and SQL targeting BigQuery.
  • Author modular, tested SQL models and Python-based data transformations to support analytics, reporting, and ML feature generation.
  • Implement data quality checks, lineage, and observability to ensure reliable analytics outputs and SLAs.
  • Collaborate with product, analytics, and ML teams to define metric definitions and translate business requirements into performant data models.
  • Build and maintain RESTful APIs and integrations to surface curated datasets and features for internal and external consumers; implement and consume LLM APIs where applicable.
  • Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when appropriate.
  • Optimize performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.
  • Document data models, transformation logic, and operational runbooks; mentor teammates on best practices for dbt, SQL, and analytics engineering.

Qualifications

  • 3+ years of experience in analytics engineering, data engineering, or a related role building analytics pipelines and data models.
  • Experience working with Healthcare Claims Data
  • Expert proficiency in SQL and strong experience with Python for data transformation, orchestration, or testing.
  • Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.
  • Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.
  • Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs into analytics or product workflows.
  • Strong understanding of data modeling concepts, ETL/ELT patterns, data quality practices, and observability.
  • Excellent communication skills and ability to collaborate across cross-functional teams to operationalize analytics.
  • Nice to have: hands-on experience with Cloud Run, Vertex AI, and FastAPI for serving data or ML features; domain knowledge of healthcare claims and related data models.
- For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 07/15/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter .  Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements.
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About CyberCoders

Sourced by ZipRecruiter

CyberCoders is a cutting-edge recruiting firm headquartered in Irvine, CA, US. The company operates within the technology industry, specializing in connecting talented professionals with suitable positions across a variety of sectors. Offering a broad spectrum of services, CyberCoders uses innovative, data-driven strategies and a proprietary matching technology to pair candidates with suitable job openings. Since its inception in 1999, CyberCoders has distinguished itself as an industry trailblazer. The company's mission is to deliver effective talent solutions, thus enabling both businesses and workers to achieve their goals.

Industry

Technology, communication and media

Company size

51 - 200 Employees

Headquarters location

Irvine, CA, US

Year founded

1999

Social media

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