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Freelance Healthcare Data Engineer Jobs (NOW HIRING)

Associate Data Engineer

Kansas City, KS

$110K - $132K/yr

You will work with healthcare data pipelines, learn production data systems, and contribute to ... You will be mentored by experienced data engineers, gain hands-on experience with real healthcare ...

Use programming languages such as SQL or Python to extract, manipulate, and analyze large and ... Experience working with healthcare data, pharmacy/PBM data, medical claims, financial data, or ...

Senior Data Engineer/Devops

Atlanta, GA · Remote

$100K - $136K/yr

Senior Healthcare Data Engineer Remote TRC Talent Solutions is seeking a Senior Healthcare Data Engineer to support the continued growth and evolution of a healthcare organization's enterprise data ...

Posted today

Principal Data Engineer

Plymouth, MI · Remote

$109K - $130K/yr

Senior data engineer with expertise in SQL Server/SSRS, cloud-based data platforms, ETL/ELT, and Tableau; healthcare data governance and HIPAA compliance experience. Education: Bachelors Role:

Data Engineer

Homewood, AL · On-site

$107K - $128K/yr

General Summary The Healthcare Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and analytics infrastructure for Urology Centers of Alabama, P.C. This ...

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

... healthcare datasets. The ideal candidate will have a strong background in data engineering ... principles, experience with big data technologies, and a keen understanding of the unique ...

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

... healthcare datasets. The ideal candidate will have a strong background in data engineering ... principles, experience with big data technologies, and a keen understanding of the unique ...

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

... healthcare datasets. The ideal candidate will have a strong background in data engineering ... principles, experience with big data technologies, and a keen understanding of the unique ...

Navigate the complex and often ambiguous landscape of healthcare data, bringing clarity ... Engineering fundamentals: comfort with version control (Git), code review, testing, and the habits ...

Data Engineer

Loudoun, VA · On-site

$129K - $155K/yr

Data Engineer Job Location: Reston, VA(100% Remote)(Non-Locals also will work) Position Type ... Design and develop stream and batch processing data pipelines for ingesting healthcare data (CSVs ...

You will collaborate with engineers, product teams, clinical stakeholders, and data analysts to develop AI solutions that power the next generation of digital healthcare products. Key ...

New

Data Engineer

$100K - $115K/yr

Prior experience working with healthcare or other regulated data environments is highly desirable. * Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.

Data Engineer 1

Providence, RI · On-site

$80K - $96K/yr

Freedman HealthCare is an entrepreneurial, fast-paced, and growing consultancy with a culture of teamwork, open communication, and meeting exacting standards. Job Summary: The Data Engineer I ...

Showing results 21-40

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.

Manager, Health Care Data Engineering

HealthPartners

Bloomington, MN • On-site

Other

Medical, Retirement

Re-posted 28 days ago


HealthPartners rating

7.5

Company rating: 7.5 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

232nd of 887 rated healthcare providers


Job description

HealthPartners is hiring a Manager, Health Care Data Engineering. At HealthPartners, the mission is to provide simple and affordable healthcare. The organization uses data to improve patient and member experiences, enhance health outcomes, and reduce the overall cost of care.

The Data Engineering Manager leads a team responsible for building and optimizing data pipelines that support analytics, reporting, and enterprise decision-making. This team brings together data from multiple systems, standardizes it, and delivers reliable, usable data across the organization.

In this role, the manager coaches and supports a team of engineers and analysts working in agile environments, ensuring the delivery of high-quality, scalable data solutions. The position partners closely with internal IT teams, manages vendor relationships, and supports work that spans finance, actuarial, clinical, and operational areas.

The role oversees a team of 8 to 12 team members and reports to the Director of Enterprise Information Management. It plays a key part in advancing the transition to modern, cloud-based data platforms while maintaining strong operational performance and data quality.

This role has enterprise-wide impact by enabling teams across HealthPartners to access trusted data that drives insights, decision-making, and improved health outcomes.

Required Qualifications:

  • Bachelor's degree in computer science, data or social science, operations research, statistics, applied mathematics, econometrics, or a related quantitative field, or equivalent combination of education and experience.
  • Ten (10) years of progressive technology experience, including at least five (5) years with expert-level knowledge in one or more of the following domains: data management, software engineering, or infrastructure and operations (I&O).
  • Four (4) years of experience in business analytics, data science, software development, or data modeling 
  • Five (5) years of technology leadership experience
  • Experience working within the healthcare industry, with an understanding of healthcare data, systems, and/or regulatory environments.
  • Proficiency in leveraging AI tools (e.g., Microsoft Copilot) to enhance productivity, streamline workflows, and support data-driven solutions.
  • Knowledge of Microsoft cloud architecture and scalable solutions including service and container orchestration
  • Demonstrates a high level of motivation and self-direction, with strong curiosity, creativity, and a proactive approach to problem-solving.
  • Demonstrates effective communication skills, with the ability to effectively collaborate with end users and engage with business leaders.
  • Demonstrates the ability to effectively support and collaborate within a diverse development and/or operations team environment.

Preferred Qualifications:

  • Experience with Microsoft ecosystem tools including Azure, Power BI, Copilot, and Databricks. 
  • Exposure to agile/scrum
  • Collaborate effectively with product management, program management, engineers, and stakeholders.
  • Excellent analytical and critical thinking skills
  • Ability to influence without authority and thrive in an ambiguous environment.
  • Excellent change-management and navigation skills
  • Ability to work in a hybrid cloud environment consisting of on premise and public cloud infrastructure.
  • Interest and desire to contribute to emerging practices around DataOps (CI/CD, IaC, configuration management, etc.)

Hours/Location:

  • M-F; core business hours
  • The position follows a hybrid work model, with an expectation of onsite presence Tuesday through Thursday at the Bloomington corporate office.
  • This role does not have a formal on-call rotation; however, the manager serves as an escalation point and may occasionally be required to address issues outside of standard business hours.

Responsibilities:

  • All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning.
  • Build and lead a multidisciplinary "center of excellence" team of data engineers, machine learning engineers, automation specialists; inspire a culture of collaboration and support.
  • Serve as a system-wide thought leader on data lake strategy, ensuring alignment with strategic priorities of the plan, care group, and institute.
  • Support workforce management (across the entire employment continuum) for a team of data engineers.
  • Support and consult on our technology teams' data pipeline and AI deployments to ensure safe, equitable, and compliant adoption of AI across the enterprise.
  • Work with direct reports, stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand. 
  • Partner with compliance, privacy, and security teams to ensure adherence to HIPAA, CMS, ONC, FDA, and research ethics requirements.
  • Collaborate with project team members (Product Owners/Managers, Engineering Leads, Data Scientists, Managers) to build efficient data driven platforms.
  • Present technical solutions, capabilities, considerations, and features in business terms, effectively communicate status, issues, and risks in a precise and timely manner.
  • Establish the technology roadmap and strategy within the team and across the organization.
  • Guide, mentor, influence, and adopt a cloud-first modern data architectural direction and consistently adopt the associated standards and best practices.
  • Support incident management and resolution best practices.
  • Support budgeting and capital planning efforts relating to data pipeline development.
  • Perform other duties as required, to meet division goals.

At HealthPartners we believe in the power of good - good deeds and good people working together. As part of our team, you'll find an inclusive environment that encourages new ways of thinking, celebrates differences, and recognizes hard work.

We're a nonprofit, integrated health care organization, providing health insurance in six states and high-quality care at more than 90 locations, including hospitals and clinics in Minnesota and Wisconsin. We bring together research and education through HealthPartners Institute, training medical professionals across the region and conducting innovative research that improve lives around the world.

At HealthPartners, everyone is welcome, included and valued. We're working together to increase diversity and inclusion in our workplace, advance health equity in care and coverage, and partner with the community as advocates for change.

Benefits Designed to Support Your Total Health
As a HealthPartners colleague, we're committed to nurturing your diverse talents, valuing your dedication, and supporting your work-life balance. We offer a comprehensive range of benefits to support every aspect of your life, including health, time off, retirement planning, and continuous learning opportunities. Our goal is to help you thrive physically, mentally, emotionally, and financially, so you can continue delivering exceptional care.

Join us in our mission to improve the health and well-being of our patients, members, and communities.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant because of race, color, sex, age, national origin, religion, sexual orientation, gender identify, status as a veteran and basis of disability or any other federal, state or local protected class.


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