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Freelance Healthcare Data Engineer Jobs (NOW HIRING)

RA Capital Management, LLC

Data Engineer

Boston, MA

$124K - $149K/yr

Our work sits at the intersection of healthcare data, large-scale data engineering, and applied AI, with a strong emphasis on reliability, compliance, and production readiness. About the Role We are ...

Prophecy Technologies

Senior Data Engineer

Memphis, TN · On-site

$103K - $139K/yr

We are seeking an experienced Senior Data Engineer with strong expertise in Azure Databricks, Spark ... Work with structured and unstructured data from various healthcare sources (EHR, claims data, etc.

The University of Texas at Austin

Data Engineer I

Austin, TX · On-site

$113K - $136K/yr

The Data Engineer will be responsible for expanding and optimizing the healthcare system's data architecture and ensuring data quality, security, and accessibility to support clinical and operational ...

Aptive

Health IT Data Engineer

$117K - $140K/yr

Support integration of healthcare, operational, and administrative data sources in alignment with enterprise data strategy. * Collaborate with Data Strategists, Data Analysts, and Solutions ...

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Freelance Healthcare Data Engineer information

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How much do freelance healthcare data engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for freelance healthcare data engineer in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is a freelance healthcare data engineer?

A Freelance Healthcare Data Engineer is a professional who specializes in designing, building, and maintaining data systems specific to the healthcare industry, while working independently or on a contract basis rather than as a full-time employee. They work with healthcare organizations to collect, structure, and process large volumes of medical data from various sources, ensuring its accuracy, security, and accessibility. Their responsibilities often include developing data pipelines, integrating electronic health records (EHR), and ensuring compliance with healthcare regulations like HIPAA. Freelance Healthcare Data Engineers may work remotely or on-site, and they collaborate with data scientists, analysts, and IT teams to support data-driven decision-making in healthcare settings.

What are some common challenges faced by freelance healthcare data engineers when working with client data?

Freelance healthcare data engineers often face challenges related to navigating strict data privacy regulations, such as HIPAA, while accessing and processing sensitive patient information. They may also encounter difficulties integrating data from multiple sources, like EHRs, lab systems, and third-party applications, which can have varying formats and standards. Additionally, collaborating remotely with healthcare IT teams to clarify requirements and ensure data accuracy can be complex, making clear communication and documentation essential for project success.

What are the key skills and qualifications needed to thrive as a freelance healthcare data engineer?

To thrive as a Freelance Healthcare Data Engineer, you need strong expertise in data modeling, ETL processes, and healthcare data standards like HL7 or FHIR, typically supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, cloud platforms (AWS, Azure), and healthcare data management systems is crucial, along with certifications like AWS Certified Data Analytics or Health Informatics credentials. Excellent problem-solving, communication, and client management skills help you navigate complex requirements and collaborate with diverse healthcare stakeholders. These skills ensure accurate, secure, and efficient data solutions that support critical healthcare operations and compliance mandates.

What is the difference between Freelance Healthcare Data Engineer vs Healthcare Data Analyst?

AspectFreelance Healthcare Data EngineerHealthcare Data Analyst
CredentialsRelevant certifications (e.g., CDMP, data engineering certifications), technical skills in SQL, Python, cloud platformsData analysis certifications (e.g., CAP, CPC), proficiency in SQL, Excel, data visualization tools
Work EnvironmentRemote or client-site, project-based, independent contractingTypically office-based or remote, employed by healthcare organizations or consulting firms
Employer & Industry UsageFreelance basis, working with healthcare providers, tech firms, or consulting agenciesHealthcare providers, hospitals, insurance companies, or research institutions

While both roles involve working with healthcare data, Freelance Healthcare Data Engineers focus on building data pipelines and infrastructure, often working independently on technical projects. Healthcare Data Analysts interpret data to generate insights, usually within organizations. The freelance engineer role emphasizes data engineering skills, whereas analysts focus on data interpretation and reporting.

How to become a freelance healthcare data engineer?

To become a freelance healthcare data engineer, develop strong skills in data management, programming (such as Python or SQL), and familiarity with healthcare data standards like HL7 or FHIR. Obtain relevant certifications, build a portfolio of healthcare data projects, and establish a professional network to find clients. Experience in healthcare environments and knowledge of data privacy regulations like HIPAA are also important.
More about Freelance Healthcare Data Engineer jobs
What cities are hiring for Freelance Healthcare Data Engineer jobs? Cities with the most Freelance Healthcare Data Engineer job openings:
What are the most commonly searched types of Healthcare Data Engineer jobs? The most popular types of Healthcare Data Engineer jobs are:
What job categories do people searching Freelance Healthcare Data Engineer jobs look for? The top searched job categories for Freelance Healthcare Data Engineer jobs are:
Freelance Healthcare Data Engineer jobs near you
Infographic showing various Freelance Healthcare Data Engineer job openings in the United States as of August 2026, with employment types broken down into 38% Full Time, 13% Part Time, and 49% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Senior Data Engineer EDI Claims Processing

NationsBenefits, LLC

Plantation, FL • On-site

$105K - $143K/yr

Full-time

Medical

Posted 17 days ago

NationsBenefits rating

6.6

Company rating: 6.6 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

310th of 485 rated business services

Job description

NationsBenefits is recognized as one of the fastest-growing companies in America and a Healthcare Fintech provider of supplemental benefits, flex cards, and member engagement solutions. We partner with managed care organizations to provide innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and bring value to their members.Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and member engagement solutions, we help health plans deliver high-quality benefits to their members that address the social determinants of health and improve member health outcomes and satisfaction.Our compliance-focused infrastructure, proprietary technology systems, and premier service delivery model allow our health plan partners to deliver high-quality, value-based care to millions of members.We offer a fulfilling work environment that attracts top talent and encourages all associates to contribute to delivering premier service to internal and external customers alike. Our goal is to transform the healthcare industry for the better! We provide career advancement opportunities from within the organization across multiple locations in the US, South America, and India.
Location: Plantation, FL (On-site)
Senior Data EngineerAbout the Role

We are seeking an experienced Senior Data Engineer EDI Claims Processing to join our growing Data Engineering team. This role is responsible for designing, developing, and maintaining enterprise-scale healthcare data integration solutions focused on HIPAA X12 EDI transactions, Medicaid encounters, and CMS compliance.

The ideal candidate has extensive experience building high-volume data pipelines using Databricks and SQL Server, a deep understanding of HIPAA X12 transaction standards, and hands-on experience supporting healthcare claims processing, clearinghouse integrations, and regulatory compliance.

This is an excellent opportunity for a healthcare data engineering professional who enjoys solving complex integration challenges while delivering reliable, scalable, and compliant data solutions.

Key ResponsibilitiesEDI Data Pipeline Engineering
  • Design, develop, and optimize enterprise-grade ingestion, parsing, validation, transformation, and delivery pipelines for HIPAA X12 transactions, including:
    • 837 (Professional, Institutional, Dental Claims)
    • 277CA (Claims Acknowledgment)
    • 999 (Implementation Acknowledgment)
    • 834 (Member Eligibility)
    • 835 (Remittance Advice)
  • Build scalable, high-performance ETL/ELT workflows using Databricks, PySpark, Delta Lake, and SQL Server.
Claims & Encounter Processing
  • Manage Medicaid encounter submissions, reconciliation, and error remediation with state Medicaid agencies.
  • Support CMS encounter processing by implementing regulatory updates, schema changes, and compliance requirements.
  • Collaborate with internal teams to ensure accurate and timely claims submissions.
Data Integration & Validation
  • Develop automated validation frameworks to ensure HIPAA compliance, SNIP validation, and business rule enforcement.
  • Maintain secure and reliable integrations with healthcare clearinghouses and trading partners.
  • Analyze and troubleshoot complex EDI processing issues across multiple systems.
Operational Excellence
  • Build monitoring, alerting, logging, and SLA reporting for production EDI workflows.
  • Continuously improve pipeline performance, scalability, and reliability.
  • Maintain technical documentation, mapping specifications, companion guide implementations, and data dictionaries.
Cross-Functional Collaboration
  • Partner with Claims Operations, Compliance, Product, IT Security, and external healthcare partners to support enterprise data integration initiatives.
  • Participate in architecture discussions and recommend best practices for healthcare data engineering.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
  • 58+ years of experience as a Data Engineer, Integration Engineer, or Healthcare Data Engineer.
  • Strong expertise with HIPAA X12 EDI transaction standards, including:
    • 837 (Professional, Institutional, Dental)
    • 277CA
    • 999
    • 834
    • 835
  • Hands-on experience with Medicaid encounter processing and state Medicaid submissions.
  • Experience implementing CMS encounter regulations, schema updates, and compliance changes.
  • Strong experience with Databricks, PySpark, Delta Lake, and SQL Server.
  • Experience with healthcare claims validation platforms such as HIPAA Suite or similar EDI processing tools.
  • Strong understanding of:
    • HIPAA regulations
    • PHI security and data privacy
    • SNIP validation levels
    • EDI mapping, loops, segments, and companion guides
  • Experience integrating with healthcare clearinghouses such as Availity, Change Healthcare, or similar platforms.
  • Excellent troubleshooting, analytical, and problem-solving skills.
Preferred Qualifications
  • Experience with Azure Databricks or other cloud-based data engineering platforms.
  • Knowledge of healthcare interoperability standards such as FHIR and HL7.
  • Experience with encounter error remediation and state-specific Medicaid edit codes.
  • Background supporting Medicaid Managed Care, Medicare Advantage, or Accountable Care Organization (ACO) environments.
  • Experience building automated reconciliation, validation, and quality assurance frameworks for healthcare EDI transactions.
  • Familiarity with CI/CD pipelines and DevOps practices for data engineering.
Technical Skills
  • Databricks
  • PySpark
  • Delta Lake
  • SQL Server
  • T-SQL
  • Azure Databricks (Preferred)
  • HIPAA X12 EDI
  • Medicaid Encounters
  • CMS Encounter Processing
  • HIPAA Suite (or equivalent)
  • ETL / ELT Development
  • Data Validation & Reconciliation
  • Healthcare Claims Processing
  • Azure (Preferred)
What You'll Bring
  • Strong ownership mindset with the ability to work independently on complex technical initiatives.
  • Excellent communication and collaboration skills across technical and business teams.
  • Passion for building scalable, reliable, and compliant healthcare data solutions.
  • Commitment to delivering high-quality data engineering solutions in a fast-paced healthcare environment.
Why Join Us?

Join a collaborative team where you'll help build mission-critical healthcare data platforms that support millions of healthcare transactions. You'll work with modern data technologies, contribute to large-scale integration initiatives, and play a key role in ensuring secure, compliant, and high-quality healthcare data processing.
NationsBenefits is an Equal Opportunity Employer.

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