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Remote Hcc Risk Adjustment Coder Jobs in Round Lake, IL

HHAeXchange

Platform Engineer

Mundelein, IL · Remote

Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas ... Own infrastructure-as-code (IaC) practices across the team using tools such as Terraform or AWS CDK

UnitedHealth Group

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

Drive modern engineering practices across teams, including automation-first development, code reuse ... risk * Mentor and guide engineers across teams, acting as a subject-matter expert and escalation ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

Drive modern engineering practices across teams, including automation-first development, code reuse ... risk * Mentor and guide engineers across teams, acting as a subject-matter expert and escalation ...

Fortune Brands

Lead Infrastructure Engineer

Deerfield, IL · On-site +1

$109K - $143K/yr

Job is remote - will need to visit data centers on occasion. The Lead Infrastructure Engineer plays ... Partner with the Cybersecurity team on risk assessments and audit readiness. Monitoring and ...

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Remote Hcc Risk Adjustment Coder information

See Round Lake, IL salary details

$15

$21

$32

How much do remote hcc risk adjustment coder jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for remote hcc risk adjustment coder in Round Lake, IL is $21.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.08 per hour, depending on experience, location, and employer.

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

To thrive as a Remote HCC Risk Adjustment Coder, you need a solid understanding of ICD-10-CM coding guidelines, risk adjustment models, and extensive experience in medical record review, typically supported by a relevant coding certification such as CPC or CRC. Proficiency with electronic health record (EHR) systems, coding software, and risk adjustment platforms is essential. Exceptional attention to detail, analytical thinking, and strong communication skills help coders excel in remote settings and ensure coding accuracy. These skills and qualifications are vital for optimizing risk scores, ensuring compliance, and supporting accurate reimbursement in healthcare organizations.

What is a Remote HCC Risk Adjustment Coder?

A Remote HCC Risk Adjustment Coder is a medical coding professional who works from home or another remote location, reviewing patient medical records to assign Hierarchical Condition Category (HCC) codes. These codes are used by healthcare organizations to accurately reflect the severity of patient illnesses for risk adjustment and reimbursement purposes, especially in Medicare Advantage programs. The coder analyzes clinical documentation to ensure that diagnoses are coded correctly and in compliance with regulatory guidelines. Their work is essential for ensuring healthcare providers receive appropriate compensation and for maintaining accurate patient risk profiles.

What are some common challenges faced by remote HCC Risk Adjustment Coders and how can they be managed?

Remote HCC Risk Adjustment Coders often encounter challenges such as interpreting incomplete or ambiguous medical documentation, staying updated with evolving coding guidelines, and managing communication across dispersed teams. To address these challenges, it's important to proactively seek clarification from providers, participate in ongoing training, and utilize collaboration tools to stay connected with peers and supervisors. Establishing a structured daily workflow and leveraging available resources can also help maintain coding accuracy and productivity in a remote setting.
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Remote Hcc Risk Adjustment Coder jobs near you
Platform Engineer

Platform Engineer

HHAeXchange

Mundelein, IL • Remote

Full-time

Posted 28 days ago

Job description

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.

HHAeXchange is seeking a Platform Engineer to join our Data & AI Engineering team. Reporting to the Director of Analytics, this role sits at the intersection of platform reliability and delivery automation – ensuring the infrastructure that powers our AI platform, data pipelines, and internal applications is stable, scalable, and continuously improving.

This is a hands-on engineering role embedded within a team building Layer 1 of HHAeXchange’s AI Platform – the core machinery that enables AI-powered capabilities across the organization. The engineer will own the reliability and deployment lifecycle of that infrastructure, working closely with AI Platform Engineers and Data & AI Engineers to operationalize everything we build on AWS.

As our AI platform matures and internal tooling expands, this role becomes the connective tissue between development velocity and production stability – ensuring that what gets built gets shipped reliably, monitored proactively, and scaled confidently.

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas.

Essential Job Duties

Platform Reliability (SRE)

  • Own availability, latency, and performance targets for AI platform services and data infrastructure running on AWS
  • Design and implement monitoring, alerting, and observability frameworks across the platform stack
  • Lead incident response, root cause analysis, and post-mortem processes for platform-level outages or degradations
  • Define and track SLOs/SLAs for core platform primitives including RAG pipelines, agent orchestration services, and model access layers
  • Proactively identify reliability risks and drive engineering improvements before they become production issues
  • Build and maintain runbooks, disaster recovery procedures, and operational documentation

DevOps & Delivery Automation

  • Design, build, and maintain CI/CD pipelines for AI platform components, data pipelines, and internal applications
  • Own infrastructure-as-code (IaC) practices across the team using tools such as Terraform or AWS CDK
  • Manage and optimize AWS environments including ECS, Lambda, S3, RDS, Redshift, API Gateway, and related services
  • Implement and enforce security, compliance, and cost optimization best practices across AWS infrastructure
  • Automate deployment, scaling, and configuration management to reduce manual operational overhead
  • Partner with AI Platform Engineers to containerize and operationalize AI services and agent frameworks
  • Support Data & AI Engineers with environment management, access controls, and deployment tooling for Polaris and data pipeline infrastructure

Cross-Team Enablement

  • Serve as the operational backbone for the AI platform team – ensuring engineers can ship and iterate quickly without being blocked by infrastructure concerns
  • Contribute to our “factory model” vision by making deployment and reliability a repeatable, scalable capability rather than an ad hoc function
Other Job Duties
  • Other duties as assigned by supervisor or HHAeXchange leader.
Travel Requirements
  • Travel up to 10%, including overnight travel
Required Education, Experience, Certifications and Skills
  • 3+ years of professional experience in a DevOps, SRE, or platform engineering role
  • Hands-on AWS experience required – AgentCore, Bedrock, ECS, Lambda, S3, RDS, Redshift, CloudWatch, IAM, VPC, and related services
  • Experience with infrastructure-as-code tools such as Terraform or AWS CDK
  • Strong CI/CD experience with tools such as GitHub Actions
  • Experience with containerization and orchestration (Docker, ECS, or Kubernetes)
  • Familiarity with AI/ML infrastructure patterns – model serving, vector databases, pipeline orchestration (strongly preferred)
  • Experience with observability and monitoring tooling (Datadog, CloudWatch)
  • Prior experience in a SaaS environment
  • Strong verbal and written communication skills with ability to collaborate across technical and non-technical stakeholders
  • Self-starter with a proactive approach to identifying and resolving infrastructure risk before it impacts delivery
  • Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role.
The base salary range for this US-based, full-time, and exempt position is $110,000-120,000/yr, not including variable compensation. An employee’s exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.
 
This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.
 
HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.