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Core Measures Data Abstractor Jobs in Virginia (NOW HIRING)

SCP Health

... education, data analysis and service recovery. * Recommend and implement improvements to the ... to quality, core measures, readmission rates, length of stay, case mix index (CMI), billing ...

New

Arcfield

Cyber Data Scientist IV

Chantilly, VA · On-site

The contracts Core Capabilities are: IA Management, Federal Information Security Management Act ... IA compliance measurements and metrics, Assessment and Authorization (A&A), Vulnerability ...

SHRM

Manager, Data Insights

Alexandria, VA · Hybrid

Core work hours will be designated by the department. The office environment includes a standard ... measure program success, and provide insight into how to improve personalization use cases.

Ardent Principles, Inc

Data Scientist

Mclean, VA · On-site

Assisting in developing types of measure, the collection of data, analyzing the data, and ... SCHEDULE: This is a full-time position working onsite in McLean, VA during core hours. Ready to ...

Guidehouse

Sales & Marketing Data Manager

Mclean, VA · On-site

$135K - $225K/yr

... measure performance, monitor business health, and support data-driven decision-making. The ideal ... Manage metadata, business glossaries, and documentation for core sales and marketing data assets ...

Guidehouse

Sales & Marketing Data Manager

Mclean, VA · On-site

$135K - $225K/yr

... measure performance, monitor business health, and support data-driven decision-making. The ideal ... Manage metadata, business glossaries, and documentation for core sales and marketing data assets ...

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Core Measures Data Abstractor information

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$14

$25

$38

How much do core measures data abstractor jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for core measures data abstractor in Virginia is $25.11, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $31.68 per hour, depending on experience, location, and employer.

What is a Core Measures Data Abstractor?

Core Measures Data Abstractors are healthcare professionals who review patient medical records to collect and report data on specific quality measures established by organizations like The Joint Commission and the Centers for Medicare & Medicaid Services (CMS). Their work ensures hospitals and healthcare facilities comply with required standards and improve patient outcomes by tracking performance on evidence-based care processes. Abstractors must be detail-oriented, knowledgeable about clinical documentation, and able to accurately interpret complex medical information to extract relevant data for regulatory reporting.

What is the difference between Core Measures Data Abstractor vs Medical Records Technician?

AspectCore Measures Data AbstractorMedical Records Technician
CredentialsTypically requires certification in health information management or related fieldsUsually requires a medical records or health information technology certification
Work EnvironmentHospitals, healthcare facilities focusing on quality metricsMedical offices, hospitals, clinics managing patient records
Employer & Industry UsageUsed in healthcare quality reporting and complianceUsed for organizing, coding, and managing patient records
Primary FocusAbstracting data for core measures and quality reportingMaintaining and organizing patient health records

The Core Measures Data Abstractor primarily focuses on extracting and analyzing data related to healthcare quality metrics, while the Medical Records Technician manages and maintains patient records. Both roles require health information certifications and work within healthcare settings, but their core responsibilities differ in data abstraction versus record management.

What are some common challenges faced by Core Measures Data Abstractors, and how can they be overcome?

Core Measures Data Abstractors often face challenges such as interpreting complex medical records, staying updated on evolving reporting requirements, and ensuring data accuracy under tight deadlines. To overcome these obstacles, it’s important to have strong attention to detail, maintain clear communication with clinical staff, and participate in ongoing training to keep up with regulatory changes. Many organizations support abstractors with regular team meetings and access to experienced mentors, which helps foster knowledge-sharing and problem-solving.

What are the key skills and qualifications needed to thrive as a Core Measures Data Abstractor?

To thrive as a Core Measures Data Abstractor, you need a strong background in healthcare data analysis, medical terminology, and knowledge of regulatory requirements, often supported by a clinical degree or relevant certification. Proficiency with data abstraction software, electronic health records (EHRs), and familiarity with Joint Commission or CMS reporting systems is typically required. Attention to detail, critical thinking, and strong organizational skills are crucial soft skills for accuracy and efficiency. These competencies ensure precise data collection and reporting, which directly impact compliance, quality improvement, and patient care outcomes.
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Core Measures Data Abstractor jobs near you
Infographic showing various Core Measures Data Abstractor job openings in Virginia as of July 2026, with employment types broken down into 77% Full Time, 15% Part Time, 4% Temporary, and 4% Nights. Highlights an 70% In-person, and 30% Remote job distribution, with an average salary of $52,235 per year, or $25.1 per hour.

Data Engineering Lead

Accenture Federal Services

Arlington, VA

$131K - $158K/yr

Other

Re-posted 23 hours ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 481 rated business services

Job description

Job Description

The Data Engineer will design, build, and maintain the core client data infrastructure and pipelines necessary to ingest, process, store, and transform data for various consumers. Develop and operate automated, end-to-end data pipelines, create and maintain data models and schemas, and contribute to the overall scalability, reliability, and security of the data platform. Implement data processing frameworks and technologies, design and optimize data storage solutions, and develop data transformation logic to support analytics requirements. Implement data quality checks and validation procedures, establish data lineage tracking mechanisms, and troubleshoot data pipeline issues. Collaborate with data scientists and analysts to understand data requirements, work with security teams to implement data protection measures, and stay current with data engineering technologies and best practices. Document data architecture and pipelines, participate in data governance activities, and contribute to continuous improvement of data engineering processes.

Must have:

  • 8 years of experience in data engineering, data pipeline design, and management
  • Must meet DoD 8140 requirements
  • Bachelor's degree (or 4 years of additional equivalent experience) in IT, Cybersecurity, Computer Science, Information Systems, Data Science, Software Engineering

Security Clearance:

  • Active Secret, Top Secret, TS/SCI, or TS/SCI with Polygraph clearance required, depending on position 

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