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Remote Medical Data Abstractor Jobs in California

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... medical/dental/vision coverage * unlimited PTO * mental health resources * paid home office ...

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... medical/dental/vision coverage * unlimited PTO * mental health resources * paid home office ...

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ... Comprehensive Medical, Dental and Vision benefits for employees and dependents * Employer 401K ...

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ... Comprehensive Medical, Dental and Vision benefits for employees and dependents * Employer 401K ...

This is a full-time remote position. Key Responsibilities * Developing batch and streaming / event ... Comprehensive Medical, Dental and Vision benefits for employees and dependents * Employer 401K ...

Data Architect, Next Platform

Redwood City, CA · On-site +1

$150K - $200K/yr

We are seeking a Data Architect to design the structural backbone of a high-scale, multi-modal ... medical and other benefits depending on the position. Additionally, for remote roles open to ...

Data Engineer

Los Angeles, CA · On-site +1

$120K - $160K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and ...

Data Scientist

San Francisco, CA · On-site +1

$101K - $209K/yr

... LI-REMOTE #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and ... If you require a medical or religious accommodation during the job application process, please ...

Showing results 41-60

Remote Medical Data Abstractor information

What is a remote medical data abstractor?

A Remote Medical Data Abstractor is a professional who reviews and extracts relevant medical information from patient records and enters it into electronic databases or systems. Working remotely, they analyze clinical documents to ensure accurate data capture for research, billing, or quality improvement purposes. This role requires strong attention to detail, knowledge of medical terminology, and familiarity with electronic health record (EHR) systems. Remote Medical Data Abstractors play a key role in supporting healthcare organizations by maintaining accurate and up-to-date patient data.

What are some common challenges faced by remote medical data abstractors, and how can they be overcome?

Remote Medical Data Abstractors often encounter challenges such as navigating multiple electronic health record (EHR) systems, ensuring data accuracy, and managing large volumes of patient information within tight deadlines. Staying organized, maintaining meticulous attention to detail, and regularly communicating with healthcare teams can help overcome these hurdles. Many employers provide comprehensive onboarding and ongoing support to ensure abstractors can efficiently access data and resolve any technical issues. Utilizing secure and reliable internet connections, as well as keeping up-to-date with best practices in data security and HIPAA compliance, are also essential for success in this remote role.

What is the difference between Remote Medical Data Abstractor vs Remote Medical Coder?

AspectRemote Medical Data AbstractorRemote Medical Coder
CredentialsTypically requires a certification in medical data abstraction or related trainingRequires coding certifications like CPC or CCS
Work EnvironmentPrimarily reviews and extracts data from medical recordsAssigns standardized codes to diagnoses and procedures
Industry UsageUsed in research, clinical trials, and healthcare data analysisUsed in billing, reimbursement, and insurance claims
Search & Comparison IntentOften compared for data accuracy and record review rolesCompared for billing, coding accuracy, and compliance

The Remote Medical Data Abstractor focuses on extracting relevant information from medical records for research or analysis, while the Remote Medical Coder assigns standardized codes for billing and reimbursement. Both roles require healthcare knowledge and certification but serve different functions within the healthcare industry.

What are the key skills and qualifications needed to thrive as a remote medical data abstractor, and why are they important?

To thrive as a Remote Medical Data Abstractor, you need a strong understanding of medical terminology, clinical documentation, and experience with healthcare coding or data management—often supported by a degree in health information management or a related field. Proficiency with electronic health record (EHR) systems, data abstraction tools, and sometimes certifications like RHIT or CPC are typically required. Exceptional attention to detail, time management, and effective communication are crucial soft skills for ensuring accuracy and efficiency while working independently. These skills ensure high-quality data collection, compliance with healthcare regulations, and support accurate patient care and reporting.
What cities in California are hiring for Remote Medical Data Abstractor jobs? Cities in California with the most Remote Medical Data Abstractor job openings:
Infographic showing various Remote Medical Data Abstractor job openings in California as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 23% Part Time, 2% Temporary, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Data Engineering Manager

Spokeo

Pasadena, CA • On-site, Remote

$172K - $206K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

About Spokeo:
Spokeo is a people intelligence platform that helps over 18 million monthly visitors reconnect with friends, reunite with families, and build trust in new relationships. Thousands of companies also trust Spokeo's 60 billion public records to improve customer research, help verify information, and prevent fraud.
Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 years. It has earned recognition from Comparably as a Best Company for Compensation, Employee Happiness, Perks and Benefits, Support for Women, Work-Life Balance, and CEO Leadership.
About this Opportunity
Spokeo is seeking a Data Engineering Manager to help build a state-of-the-art analytics platform. As a Data Engineering Manager, you will report directly to our Director of Data Engineering and lead a cross-functional team of data engineers to deliver high-quality, scalable data solutions that meet our data, reporting, and analytics needs. You will provide leadership and technical skills to champion and implement data governance, data integrity, data engineering standards, data integration, and QA best practices. You will partner closely with our Product Owners to understand requirements, provide technical guidance to the team, and ensure the timely delivery of quality solutions.
What you'll do:
  • Lead and manage data engineers to build data solutions for our business intelligence needs
  • Lead a cross-functional team in building a state-of-the-art data analytics platform
  • Collaborate with data scientists, analysts, product managers, and executives to understand and fulfill our data needs
  • Lead database development, data pipeline, integration, ETL, modeling, and data architecture using AWS technologies
  • Define and manage SLA's for all data sets and reporting processes
  • Develop software engineering best practices, guidelines, procedures, and repeatable and scalable frameworks
  • Document, automate, and enforce data quality, data integrity, and QA best practices

What you've done:
  • 7+ years of experience in Business Intelligence and Data Warehousing
  • 5+ years of experience with cloud solutions (AWS, Azure)
  • 5+ years of experience with big data technologies (Spark, Hadoop, MapReduce, Hive, Kafka)
  • 5+ years of experience with data pipelines orchestration tools like Airflow.
  • 2+ years of experience managing data engineering teams, providing technical guidance, and mentoring data engineers.
  • Expertise in data lakes, warehouses, modeling, ETL, and big data platforms.
  • Familiarity with MLOps to help design, automate, and streamline the entire lifecycle of ML models.
  • Expertise in RDBMS, SQL, query optimization, and security
  • A Bachelor's degree in Computer Science, Information Management, or a related field
  • Attention to detail, excellent problem-solving ability, and strong communication skills

Working at Spokeo
Our mission is to advance transparency, and to achieve that goal, we rally around six core values: listening with empathy, understanding the why, clarifying with data, innovating to learn, collaborating to achieve, and insisting on quality.
As a remote-first company, we are able to hire team members residing in the following US states: AZ, CA, CO, FL, GA, KY, MD, MI, MO, NJ, NV, NC, PA, SC, SD, TX, VA, WA, or WY.
In addition to a highly competitive base salary, our generous benefits include:
  • annual bonus program
  • stock options
  • 401K matching
  • 100% medical/dental/vision coverage
  • unlimited PTO
  • mental health resources
  • paid home office equipment
  • fitness reimbursements
  • support paying for courses
  • and more

Hiring at Spokeo
We extend written offers to candidates who successfully complete their selection process. Offers will depend on several factors, including, but not limited to, marketplace competition, job leveling, experience, and skills.
Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy
Spokeo is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.
Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.
Use of Artificial Intelligence in Our Hiring Process
Spokeo may use artificial intelligence-enabled tools to support portions of the recruiting process. These tools may help our recruiting team organize, review, and summarize application materials, candidate experience, and interview information. They may also identify potential inconsistencies or verification signals in application materials for further human review.
AI-enabled tools assist our recruiting team but do not replace human judgment. Employment decisions are made by people based on a candidate's qualifications and the role's requirements.
#LI-Remote
Department Data Role Data Engineering Manager Locations Remote, United States Remote status Fully Remote Yearly salary $172,800 - $206,100