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Commission Fhir Developer Jobs (NOW HIRING)

Data Engineer (AI/ML)

Chicago, IL · On-site

$118K - $141K/yr

Collaborate with platform and DevOps teams to deploy, scale, and monitor data pipelines using ... Experience working with healthcare datasets or knowledge of healthcare standards (HIPAA, HL7, FHIR ...

WI · On-site

$83 - $204/hr

... FHIR APIs, interoperability standards, or related cloud and DevOps certifications Education ... This position is eligible for a CVS Health bonus, commission or short-term incentive program in ...

New

Description Of Services The Texas Health and Human Services Commission is seeking an experienced ... HL7 FHIR experience - 3 years (Preferred) * Object-oriented programming knowledge - 3 years ...

Ensure compliance with The Joint Commission, CMS, and all applicable federal and state regulatory ... Support alignment to medical device interoperability standards including HL7, FHIR, and IEEE ...

State of Texas Health and Human Services Commission 8 or more years of experience, relies on ... This role supports a Technical Project Manager for a data engineering project with an AI adoption ...

$89K - $123K/yr

Strong understanding of HL7, FHIR, ASTM, and other healthcare data standards. * Experience ... Commissions are based on individual performance and/or company performance The Company offers the ...

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Commission Fhir Developer information

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How much do commission fhir developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for commission fhir developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What is the difference between Commission Fhir Developer vs FHIR Integration Specialist?

AspectCommission Fhir DeveloperFHIR Integration Specialist
Required CredentialsFHIR certifications, programming skillsFHIR certifications, integration experience
Work EnvironmentHealthcare IT teams, software developmentHealthcare systems, IT integration projects
Industry UsageHealthcare software companies, hospitalsHealth IT vendors, healthcare providers

The Commission Fhir Developer primarily focuses on developing and maintaining FHIR-based healthcare applications, while the FHIR Integration Specialist concentrates on integrating various healthcare systems using FHIR standards. Both roles require similar certifications and work within healthcare IT environments, but their core responsibilities differ: development versus integration tasks.

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Infographic showing various Commission Fhir Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 57% Physical, 1% Hybrid, and 42% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

Data Engineer (AI/ML)

Bcbsa

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Job description

Job Description Summary
The Data Engineer will design, build, and optimize scalable, secure data pipelines that power analytics and product platforms. For this role specifically, the focus will be on Machine Learning (ML) and Generative Artificial Intelligence (GenAI) workloads, while contributing to innovation and ensuring compliance with healthcare industry standards. This role is expected to provide strong hands-on technical expertise, collaborate across teams, and contribute to architecture decisions that align engineering practices with organizational goals.

Job Description

  • Design, build, andmaintainreliable, high-performance data pipelines for large-scalestructured and unstructured healthcare data.

  • UsePySparkand modern cloud-based tools (Databricks, AWS Glue, EMR, Snowflake) to transform and process data efficiently.

  • Support ingestion, transformation, and validation processes that ensure data consistency, integrity, and availability.

  • Partner with Data Architects, Data Scientists, and Analysts to translate business needs into scalable engineering solutions.

  • Collaborate with platform and DevOps teams to deploy, scale, and monitor data pipelines using Airflow and Kubernetes.

  • Participate in code reviews, documentation, and continuous improvement efforts across the engineering team.

  • Implement andmaintaindata validation frameworks to ensure pipeline accuracy and completeness.

  • Contribute to best practices in version control, metadata management, and reproducibility.

  • Stay current with emerging technologies in data engineering and cloud computing, recommending improvements to existing infrastructure.

  • Participate in performance tuning, cost optimization, and scaling strategies for cloud-based data systems.

  • Identifyautomation opportunities to streamline ETL/ELT processes and reduce operational overhead.

  • Share knowledge and mentor junior team members on tools, techniques, and best practices.

  • Promote a culture of collaboration, innovation, and continuous learning within the engineering organization.

  • Support compliance with SOC 2, HIPAA, and GDPR by adhering toestablisheddata privacy and security practices.

The posting range for this position is:

100,800.00 - 138,600.00

Required Education, Certifications and Experience:

Education:

  • Bachelor's orMaster's degree in Computer Science, Engineering, or related field.

Experience:

  • 5+years of experience in data engineering, including building and managing pipelines in cloud-based environments.

Knowledge Skills and Abilities

  • Experience with building and operationalizing the data foundations that support machine learning and generative AI use cases, including feature pipelines, training/inference data preparation, and retrieval-ready datasets (e.g., embeddings and vector stores)
  • Familiarity with GenAI skills and adjacent tooling (foundation models, prompt engineering, RAG, embeddings/vector databases, and GenAI orchestration frameworks).
  • Hands-on experience with AWS AI/ML and data services, including Amazon Bedrock, Bedrock Agent Core, SageMaker, Glue, and EMR.
  • Experience designing and optimizing data architectures, including data foundations that support ML and GenAI workloads.
  • Hands-on experience with workflow orchestration (Airflow) and containerization (Kubernetes).
  • Hands-on technical expertise, cross-team collaboration, and contributing to architecture decisions
  • Proficiencyin Python, SQL, and distributed data frameworks (PySpark, Databricks, AWS Glue, EMR).
  • Working knowledge of cloud platforms (AWS or Azure) and data warehouses (Snowflake).
  • Familiarity with NoSQL and relational databases, as well as data modeling best practices.
  • Strong analytical, problem-solving, and communication skills.
  • Understanding ofcompliance frameworks (SOC 2, HIPAA) and secure data management principles.
  • Experience working with healthcare datasets or knowledge of healthcare standards (HIPAA, HL7, FHIR) preferred.

#LI_HYBRID

      The posted salary range is the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the hiring range and this hiring range may also be modified in the future. A candidate's position within the hiring range may be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs.This job is also eligible for annual bonus incentive pay.

      We offer a comprehensive package of benefits including paid time off, 11 holidays, medical/dental/vision insurance, generous 401(k) matching, lifestyle spending account and many other benefits to eligible employees.

      Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.