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Freelance Healthcare Data Engineer Jobs (NOW HIRING)

Data Engineer

$117K - $140K/yr

Kafka, Tableau • Strong understanding of healthcare data systems and experience leading data engineering teams • Experience in Agile environments. • Excellent problem-solving skills and ...

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

We partner with managed care organizations to provide innovative healthcare solutions that drive ... DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development ...

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

We partner with managed care organizations to provide innovative healthcare solutions that drive ... DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development ...

Data Engineer Hl7/FHIR

$117K - $140K/yr

Several years of experience as a SQL Developer, transitioning into a Data Engineering role. 5+ years of experience in healthcare data, including quality assurance, and working with HL7 and FHIR ...

... for healthcare organizations. We're based in NYC, are growing rapidly, and are backed by $60 ... About the role We are looking for a highly driven Data Engineer to help design, build, and scale ...

... analysis, health care cost containment, data quality measurement, and predictive modeling ... Strong PC/programming skills including Microsoft Office Suite, VBA, SQL, Power Play and Impromptu ...

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Freelance Healthcare Data Engineer information

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$14

$47

$132

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

As of Aug 7, 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:
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.

$117K - $140K/yr

Contractor

Re-posted 11 days ago


Job description

Title: Senior Data Engineer
Location: Remote

Duration: 06 Months (C2H Role)
Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS
Position Summary:
The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that align with business requirements. This role focuses on optimizing data workflows, managing data pipelines, and ensuring the smooth operation of data systems.
Minimum Qualifications:
• 8+ Years overall IT experience with minimum 5 years of work experience in below tech skills
• Tech Skills:
§ Strong experience in Python Scripting and PySpark for data processing
§ Proficiency in SQL, dealing with big data over Informatica ETL
§ Proven experience in Data quality and data optimization of data lake in Iceberg format, with strong understanding of architecture
§ Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, EMR, Airflow, Postgres, SNS, Event bridge)
§ Expertise in BASH/Shell scripting
§ Experience in Data Build Tool (DBT) or similar data transformation tools
§ Experience in Mulesoft API
§ Nice to have: Kafka, Tableau
• Strong understanding of healthcare data systems and experience leading data engineering teams
• Experience in Agile environments.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration skills.
Responsibilities:
  • Leads development of data pipelines and architectures that handle large-scale data sets.
  • Designs, constructs, and tests data architecture aligned with business requirements.
  • Provides technical leadership for data projects, ensuring best practices and high-quality data solutions.
  • Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements.
  • Work with DBT (Data Build Tool) for transforming raw data into actionable insights.
  • Oversees development of data solutions that enable predictive and prescriptive analytics.
  • Ensures the technical quality of solutions, managing data as it moves across environments.
  • Aligns data architecture to Healthfirst solution architecture.