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Data Abstractor Jobs in Colorado (NOW HIRING)

Data Abstractor information

See Colorado salary details

$14

$26

$41

How much do data abstractor jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data abstractor in Colorado is $26.64, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $33.61 per hour, depending on experience, location, and employer.

What are Data Abstractors?

Data Abstractors are professionals who review, analyze, and extract relevant information from various documents, such as medical records or research data, to ensure accuracy and completeness. They play a crucial role in organizing and summarizing data for use in databases, quality assurance, research, or reporting purposes. Data Abstractors must have strong attention to detail, knowledge of data management systems, and the ability to interpret complex information. Their work supports decision-making in healthcare, research, and other industries by providing reliable and accessible data.

How does a Data Abstractor typically collaborate with clinical staff and other team members in a healthcare setting?

Data Abstractors often work closely with clinical staff, such as nurses and physicians, to clarify medical records and ensure accurate data extraction. They may attend regular team meetings to discuss documentation standards and resolve ambiguities in patient charts. Effective communication and attention to detail are essential, as abstractors must interpret various formats of medical data and follow strict confidentiality guidelines. This collaborative environment helps ensure the integrity and quality of the collected data, which is crucial for research, compliance, and patient care initiatives.

What Is a Data Abstractor?

A data abstractor works in a hospital, doctors office or another medical setting. Their primary job responsibilities include finding specific medical information in a patient’s medical records, ensuring the files are in line with organizational quality standards, and inputting that data into a computer database or program. While a degree is not one of the required qualifications for this career, many employers prefer applicants with a certificate or associate degree and experience in the medical field. Many of the skills necessary to perform the duties a data abstraction position entails can be learned on the job.

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

To thrive as a Data Abstractor, you need strong attention to detail, analytical skills, and a background in health information management or a related field, often supported by an associate's degree or relevant certification. Familiarity with electronic health record (EHR) systems, data abstraction software, and medical coding (such as ICD-10 or CPT) is typically required. Excellent organizational skills, time management, and effective communication help ensure accuracy and clarity when extracting and summarizing complex data. These skills and qualities are crucial for maintaining data integrity and supporting clinical research, reporting, and regulatory compliance.

How do I become a data abstractor?

To become a data abstractor, typically you need a high school diploma or equivalent, strong attention to detail, and good reading comprehension skills. Many roles require experience with medical or research records, and familiarity with data management tools or electronic health records (EHR) systems. Some employers may prefer candidates with certification or training in health information management or related fields.

What does a data abstractor do?

A data abstractor reviews and extracts relevant information from medical records, documents, or databases to create concise summaries or abstracts. They often use specialized software and must ensure accuracy and confidentiality in their work, which is essential for research, billing, or compliance purposes.

What jobs pay 2000 a day?

Data Abstractors typically do not earn $2000 a day; such high daily rates are more common in specialized consulting, executive roles, or freelance work in fields like finance or technology. High-paying jobs often require advanced skills, certifications, or extensive experience, and earnings can vary widely based on project scope and client. Most standard data abstraction roles offer lower daily rates, but freelance or contract positions in high-demand industries may reach or exceed this level.

How do you become an abstractor?

To become a data abstractor, typically one needs a high school diploma or equivalent, strong attention to detail, and good organizational skills. Many employers prefer candidates with experience in healthcare, legal, or research fields, and familiarity with data management tools or electronic health records. Certification is not always required but can enhance job prospects and credibility in the field.
What are the most commonly searched types of Data Abstractor jobs in Colorado? The most popular types of Data Abstractor jobs in Colorado are:
What are popular job titles related to Data Abstractor jobs in Colorado? For Data Abstractor jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Abstractor jobs in Colorado look for? The top searched job categories for Data Abstractor jobs in Colorado are:
Senior HEDIS Analyst/ Technical Lead - Denver Health Medical Plan (Must Live in Colorado. Weekly ...

Senior HEDIS Analyst/ Technical Lead - Denver Health Medical Plan (Must Live in Colorado. Weekly ...

Denver Health

Denver, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Denver Health rating

7.8

Company rating: 7.8 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

177th of 999 rated hospitals


Job description

We are recruiting for a mission-driven Senior HEDIS Analyst/ Technical Lead - Denver Health Medical Plan (Must Live in Colorado. Weekly On-Site Requirement) to join our team!
We're with you for life's journey. At Denver Health, purpose isn't just something we believe in-it's something we live every day, for life's journey.
Our Values
Respect | Belonging | Accountability | Transparency
Department
Managed Care Administration
* Must Live in Colorado
*This is a hybrid role located in Denver, Colorado with a requirement of being in the office 2 days per week.
Job Summary
This position serves as the technical owner of Healthcare Effectiveness Data and Information Set (HEDIS) outputs from the HEDIS Engine, ensuring accuracy, completeness, and audit readiness of all measure results and working with the HEDIS Clinical Lead to interpret new measure specifications.
The HEDIS Technical Lead is responsible for end-to-end execution of HEDIS measurement, validation, and submission, with a primary focus on HEDIS Engine (Cotiviti) production, rate validation, and NCQA IDSS submission for Denver Health Medical Plan (DHMP). The ideal candidate has hands-on experience running HEDIS cycles in Cotiviti (or similar vendor platforms), validating measure outputs, and managing IDSS submissions, and can partner effectively with data warehouse and clinical team. This role ensures that all HEDIS data is accurate, complete, traceable, and audit-ready.
Essential Functions:
  • HEDIS Technical Execution
    • Serves as Technical Lead on HEDIS Production and Submission Lifecycle
    • Partners with Clinical Lead for strategy development of HEDIS Program
    • Manages test, early production, and production run sequencing
    • Oversees ingestion of claims, encounters, enrollment, provider, and SDS data
    • Ensures data integrity, traceability, and documentation of data flows within the HEDIS Engine
    • Works directly with HEDIS Engine staff to ensure issues are resolved timely
    (40%)
  • Supplemental Data Sources (SDS)
    • Partner with Clinical Lead and internal IT Teams for technical implementation of new and existing SDS
    • Partners with business/clinical stakeholders to translate requirements into technical design
    • Supports mapping, validation, PSV preparation, and remediation
    • Troubleshoots SDS-related issues during runs and audit (20%)
  • QA / UAT (Technical)
    • Owns technical QA/UAT for:
    o Measure output validation and variance analysis
    o CAHPS sample generation and technical files
    • Confirms technical outputs align with HEDIS specifications and business expectations (10%)
  • Submissions & File Management
    • Owns technical aspects of submissions, including:
    o Cotiviti output files
    o Attest uploads
    o NCQA IDSS technical files (XML/CSV)
    o State submissions, as applicable
    • Ensures submissions are complete, timely, and compliant (20%)
  • Audit & Issue Resolution
    • Provides technical evidence and analysis for audit requests
    • Performs root cause analysis for discrepancies or findings
    • Maintains technical documentation to support audit defense and continuity
    (10%)

Education:
  • Bachelor's degree in data analytics, information systems, computer science, or related field required

Work Experience:
  • 4-6 years experience in health care data analytics,with at least 3 years focused specifically on HEDIS-specific technical experience in a health plan or similar environment required
  • 1-3 years experience supporting data validation, QA/UAT, and/or audits required
  • 1-3 years ability to communicate technical concepts to non-technical stakeholders and collaborate effectively across departments required
  • 1-3 years strong SQL and data analysis skills required

Licenses:
Knowledge, Skills and Abilities:
  • Strong knowledge of NCQA HEDIS specifications, CMS Star Ratings, and regulatory reporting to State and Federal programs.
  • Direct experience with HEDIS software tools (e.g., Inovalon QSI-XL, Cotiviti, OnPoint, or other vendors).
  • In-depth knowledge of HEDIS lifecycle, including NCQA IDSS submission formats and requirements.
  • Familiarity with data from clinical systems (e.g., EMR/EHR), claims, encounters, and supplemental data sources.
  • Experience supporting HEDIS audits and PSV processes.
  • Excellent problem-solving, communication, multi-disciplinary collaboration and project management skills.
  • Proficiency in Microsoft Office (Excel, PowerPoint, Word).
  • Accuracy and attention to detail in data analysis and reporting.
  • Proven ability to meet deadlines and manage deliverables.
  • Ability to work independently and manage multiple competing priorities in a fast-paced environment.
  • Experience working with Medicaid, Exchange, Medicare Advantage, or Dual Eligible populations, preferred
  • Knowledge of risk adjustment, care gaps, or other quality-related initiatives such as CAHPS or Health Outcomes Survey (HOS), preferred
  • Advanced proficiency with SQL (Oracle, SQL Server, or similar), with experience writing complex queries and optimizing data pipelines, preferred
  • Experience using reporting and data visualization tools (e.g., Tableau, Power BI, SAS, R, Python), preferred

* Must Live in Colorado
*This is a hybrid role located in Denver, Colorado with a requirement of being in the office 2 days per week.
Shift
Days (United States of America)
Work Type
Regular
Salary
$91,000.00 - $141,000.00 / yr
Benefits
At Denver Health, we take care of the people who take care of our community. Our benefits are built to support your life, your family, and your future - with generous paid time off, fully paid parental leave, exceptional retirement contributions, comprehensive health coverage, and nationally recognized well-being programs. We invest in your growth through tuition assistance, career advancement pathways, and professional development - while also offering meaningful financial advantages through loan forgiveness eligibility and employer contributions. When you join Denver Health, you're joining a mission-driven organization that invests in you.
Here is a small list of our benefit programs:
  • Paid time off starting at 28 days per year, inclusive of vacation, personal/sick, and 7 Holidays
  • 100% paid parental leave up to 6 weeks
  • Immediate eligibility for retirement plans with employer contribution up to 9.5%
  • Generous medical, dental, vision plans in addition to employer paid disability and life insurance.
  • Comprehensive well-being programs including on-site employee fitness center located on Denver Health main campus and nationally recognized RESTORE Center
  • Free RTD EcoPass (public transportation)
  • Childcare discount programs & exclusive perks on large brands, travel, and more
  • Tuition reimbursement & assistance
  • Education, coaching, and professional development opportunities through the Workforce Development Center (WFDC) that support internal career growth and advancement pathways
  • Professional clinical advancement program & shared governance
  • Public Service Loan Forgiveness (PSLF) eligible employer+ free student loan coaching and assistance navigating the PSLF program
  • National Health Service Corps (NHCS) and Colorado Health Service Corps (CHSC) eligible employer

About Denver Health
Denver Health is an integrated, high-quality academic health care system considered a model for the nation that includes a Level I Trauma Center, a 555-bed acute care medical center, Denver's 911 emergency medical response system, 10 family health centers, 19 school-based health centers, Rocky Mountain Poison & Drug Safety, the Public Health Institute at Denver Health, Denver Health Medical Plan and Denver Health Foundation.
As Colorado's primary, and essential, safety-net health care system, Denver Health is a mission-driven organization that has provided millions in uncompensated care for the uninsured each year.
Located near downtown Denver, Denver Health is just minutes away from many of the cultural and recreational activities Denver has to offer.
Denver Health is an equal opportunity employer (EOE). We value the unique ideas, talents and contributions reflective of the needs of our community. All job applicants for safety-sensitive positions must pass a pre-employment drug test, once a conditional offer of employment has been made. Applicants will be considered until the position is filled.

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