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Remote Medical Coding Jobs in Encinitas, CA (NOW HIRING)

Senior DevOps Engineer

San Diego, CA · Remote

$133K - $170K/yr

They operate a technology-driven platform connecting employers and patients with top-tier medical ... Create and maintain infrastructure as code using Terraform * Implement CI/CD pipelines across ...

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Remote Medical Coding information

See Encinitas, CA salary details

$18

$23

$25

How much do remote medical coding jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote medical coding in Encinitas, CA is $23.09, according to ZipRecruiter salary data. Most workers in this role earn between $19.38 and $24.52 per hour, depending on experience, location, and employer.

What are some common challenges faced by remote medical coders, and how can they be addressed?

Remote medical coders often face challenges such as staying updated on coding guidelines, managing time effectively without direct supervision, and maintaining clear communication with healthcare providers and billing teams. To address these issues, it's important to participate in ongoing training, utilize reliable coding resources, and set a structured daily schedule. Regular virtual meetings and proactive communication can also help ensure collaboration and accuracy in coding assignments.

What is remote medical coding?

Remote medical coding is the process of translating healthcare diagnoses, procedures, medical services, and equipment into standardized codes from a remote location, often from home. Medical coders review patient records and assign appropriate codes for billing and insurance purposes. Working remotely allows coders to perform these tasks without being physically present in a hospital or clinic, providing flexibility and the ability to work from anywhere with a secure internet connection.

Can I get a remote medical coding job?

Yes, remote medical coding jobs are widely available and often require certification such as CPC or CCS. These roles typically involve reviewing medical records and assigning appropriate codes using coding software, with flexible schedules common in remote positions.

How can I make $100,000 a year working from home?

Remote medical coders can reach a $100,000 annual income by gaining advanced certifications like CPC or CCS, accumulating several years of experience, and working for multiple healthcare providers or agencies. Increasing billable hours, specializing in high-demand areas, and taking on freelance or consulting work can also boost earnings while working remotely.

How much do medical coders make WFH?

Remote medical coders typically earn between $40,000 and $65,000 annually, depending on experience, certification, and the employer. Many work flexible hours and use coding software like ICD-10 and CPT to perform their tasks from home.

What are the key skills and qualifications needed to thrive as a Remote Medical Coder, and why are they important?

To thrive as a Remote Medical Coder, you need a solid understanding of medical terminology, anatomy, coding systems (such as ICD-10, CPT, and HCPCS), and typically a certification like CPC or CCS. Familiarity with electronic health record (EHR) systems, coding software, and secure data transmission platforms is essential. Strong attention to detail, self-motivation, and effective written communication are vital soft skills for accuracy and independent work. These capabilities are crucial to ensure precise billing, compliance with healthcare regulations, and efficient workflow in a remote environment.

Will AI eventually replace medical coders?

AI technology is increasingly used to assist medical coders by automating routine coding tasks, but it is unlikely to fully replace them in the near future. Medical coding requires critical thinking, understanding of complex medical terminology, and compliance with regulations, which currently necessitate human oversight. Coders with strong knowledge of coding systems and certification are essential for ensuring accuracy and quality in medical records.

What is the difference between Remote Medical Coding vs Remote Medical Billing?

AspectRemote Medical CodingRemote Medical Billing
CertificationsCertified Professional Coder (CPC), Certified Coding Specialist (CCS)Certified Professional Biller (CPB), Certified Coding Associate (CCA)
Work EnvironmentHome-based, healthcare facilities, coding companiesHome-based, healthcare providers, billing companies
Industry UsageHospitals, clinics, insurance companiesHospitals, clinics, insurance companies
Job FocusAssigning codes to medical procedures and diagnosesSubmitting claims, following up on payments

Remote Medical Coding involves translating medical diagnoses and procedures into standardized codes used for billing and record-keeping. Remote Medical Billing focuses on submitting insurance claims and managing payment processes. While both roles work closely within healthcare revenue cycle management, coding emphasizes accurate documentation, whereas billing centers on claims submission and payment collection.

What are the most commonly searched types of Medical Coding jobs in Encinitas, CA? The most popular types of Medical Coding jobs in Encinitas, CA are:
What are popular job titles related to Remote Medical Coding jobs in Encinitas, CA? For Remote Medical Coding jobs in Encinitas, CA, the most frequently searched job titles are:
What job categories do people searching Remote Medical Coding jobs in Encinitas, CA look for? The top searched job categories for Remote Medical Coding jobs in Encinitas, CA are:
What cities near Encinitas, CA are hiring for Remote Medical Coding jobs? Cities near Encinitas, CA with the most Remote Medical Coding job openings:
Infographic showing various Remote Medical Coding job openings in Encinitas, CA as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $48,037 per year, or $23.1 per hour.
Director of Analytics Engineering

Director of Analytics Engineering

Ennoble Care

San Diego, CA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Ennoble Care rating

4.2

Company rating: 4.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

About Us

Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, "To Care is an Honor." Join Ennoble Care today!

ABOUT THE ROLE

We're hiring a hands-on technical leader to strengthen and expand Ennoble's ACO analytics data infrastructure. You'll own the design of a unified data platform integrating our Medicare claims feeds (DPC, CCLF, BCDA), CMS alignment and benchmark files, in-house clinical systems, and external vendor data into a single, accurate, queryable layer. We expect this person to bring engineering rigor and AI-augmented practices to our team.

This candidate will be our internal thought-leader on AI-augmented data engineering: LLM coding assistants, automated QA, autonomous data-quality agents, intelligent cross-source reconciliation, MCP servers as needed, and conversational query layers. This candidate will lead our large-scale analytics platform and web app rollout as the team's analytical foundation. Individual contributor today, with a clear path to building and leading an engineering team as scope grows.

WHAT YOU'LL DO

  • Strengthen and expand our analytics data warehouse infrastructure
  • Lead AI-augmented engineering adoption: codify patterns for LLM coding assistants (e.g., Claude Code under BAA), agentic QA, autonomous data-quality monitoring agents, and conversational query layers
  • Own data accuracy and reconciliation — build validation, monitoring, and audit infrastructure that catches issues before they reach reporting or CMS submissions — extending our ~158-object audit and observability framework (ADF run logging, MBI crosswalk QA, DPC parity harness, transactional refresh with auto-rollback)
  • Partner with analytics leads (MSSP, ACO REACH/LEAD, GUIDE, Quality, Dashboards) to ensure infrastructure meets internal and external reporting requirements and advanced downstream modeling needs
  • Lead large-scale analytics platform and web app implementation, integration, and maintenance
  • Collaborate closely with IT and Engineering on tooling standards, organizational approvals, and security requirements (BAA scope, Microsoft Entra identity scoping, PHI/PII suppression, Azure SQL firewall)

WHAT WE'RE LOOKING FOR

  • Data engineering depth: Strong hands-on experience with cloud-based analytics infrastructure and production data pipelines
  • Platform: Microsoft Azure — incl. Azure SQL, Azure Data Factory, Azure DevOps, GitHub, Azure Blob Storage, Azure Databricks experience a strong plus
  • SQL & Python: Expert T-SQL; Python proficient for ingestion utilities, internal web apps, and AI-agent tooling
  • Data modeling: Experience designing unified/canonical models across heterogeneous source systems
  • Data integrity: Demonstrated validation, reconciliation, and audit framework design — especially where discrepancies have material downstream impact
  • Healthcare data: Familiarity with Medicare claims (CCLF, DPC, BCDA or similar) and/or risk-based contracting strongly preferred
  • AI fluency: Track record using LLM-based tools (e.g., Claude Code, Copilot) to accelerate data engineering; comfortable as a visible thought-leader on AI practices for a small team
  • DevOps: Experience integrating pipelines with CI/CD, version control, branching strategies (dev → test → prod), DACPAC or equivalent schema-migration tooling, and managed-identity-based deployment
  • Communication: Able to translate infrastructure decisions and engineering workflows into business impact for non-technical stakeholders

CURRENT SCALE

  • ~40,000 attributed patients across MSSP, ACO REACH, GUIDE, and LEAD
    • Various alignment, benchmark, and claim files spanning CMS/CMMI programs across multiple ACOs
  • Three distinct Medicare claim feeds (DPC, CCLF, BCDA), each with its unique schema, inconsistencies, and challenges
  • Internal clinical/operational data systems and structures
  • External vendor data feeds, with planned data source expansion as Ennoble Care's ACO portfolio grows
  • Existing data engineering foundation to continue building upon

WHAT WE OFFER

  • Foundational technical leadership at one of the nation's fastest-growing home-based care providers
  • A working analytics stack to build on — production pipelines, active models, and a team already shipping
  • Mission-driven culture focused on improving outcomes for homebound Medicare patients

Full-time employees qualify for the following benefits:

  • Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity.
  • Paid Time Off
  • Paid Office Holidays

All employees qualify for these benefits:

  • Paid Sick Time
  • 401(k) with up to 3% company match
  • Referral Program
  • Payactiv: pay-on-demand. Cash out earned money when and where you need it!

Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended.

Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.


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