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Remote Healthcare Data Engineer Jobs in California

Astrana Health

Data Engineer (Multiple Levels)

Alhambra, CA · On-site +1

$105K - $200K/yr

We are currently seeking highly motivated Data Engineers at various levels. This role will report ... Develop deep domain knowledge in healthcare operations, tracking regulatory developments related to ...

The Rockridge Group

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

JF Retail Services

Sr. Data Engineer

El Segundo, CA · On-site +1

$140K - $150K/yr

... Healthcare Plans -Employee Discounts -401k -Annual Bonus Program -Equity Program* -And More *Varied ... remote roles. The annual basesalary range for this position is from $140,000-$150,000. The range ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

Astrana Health

Manager - Data Engineering

Alhambra, CA · On-site +1

$140K - $160K/yr

With over a million managed lives across the country and terabytes of healthcare data generated ... Lead and mentor a team of data engineers, fostering a culture of continuous learning, innovation ...

Lever Demo 2

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

We're ready to welcome Slite's first data engineer ... This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain ...

Fastly

Data Engineer

San Francisco, CA · On-site +1

$133K - $159K/yr

We care about you. Fastly works hard to create a positive environment for our employees, and we ... Family planning, mental health support along with Employee Assistance Program, Insurance (Life ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Align data engineering solutions with business strategy, including support for Agentic AI workloads ... HSA healthcare accounts, life and accident insurance, adoption and fertility assistance, paid ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Align data engineering solutions with business strategy, including support for Agentic AI workloads ... HSA healthcare accounts, life and accident insurance, adoption and fertility assistance, paid ...

Rainfall Health

Senior Software Engineer

San Francisco, CA · On-site +1

$144K - $190K/yr

You will play a key role in designing secure, reliable systems that integrate with healthcare data ... Hybrid work environment with flexibility (remote + on-site in the San Francisco Bay Area)

Lever Demo 2

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

We're ready to welcome Slite's first data engineer ... This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain ...

EDO

Data Engineer

Los Angeles, CA · On-site +1

$120K - $160K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... What We Are Looking For * 3-6 years of experience as a Data Engineer. * Hands-on experience with ...

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All JobsHealthcare Data Engineer JobsRemote Healthcare Data Engineer JobsRemote Healthcare Data Engineer Jobs in California

Remote Healthcare Data Engineer information

What does a remote healthcare data engineer do?

A Remote Healthcare Data Engineer designs, builds, and maintains data systems that collect, store, and process healthcare data, all while working from a remote location. They ensure that large volumes of medical records, patient information, and other healthcare-related data are organized and secure. Their work supports healthcare providers and researchers in making data-driven decisions, improving patient outcomes, and ensuring compliance with privacy regulations. Remote Healthcare Data Engineers often collaborate with data scientists, analysts, and IT teams to create efficient and scalable data pipelines tailored to the unique needs of healthcare organizations.

What skills and qualifications are needed to thrive as a remote healthcare data engineer?

To thrive as a Remote Healthcare Data Engineer, you need expertise in data architecture, database management, and healthcare data standards, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (e.g., AWS or Azure), and knowledge of healthcare-specific systems such as HL7 or FHIR is crucial. Strong problem-solving skills, attention to detail, and effective remote communication are standout soft skills in this role. These competencies ensure secure, accurate handling of sensitive health information and support effective data-driven decisions in healthcare organizations.

How does a remote healthcare data engineer collaborate with clinical and IT teams to ensure data accuracy and security?

Remote Healthcare Data Engineers frequently work cross-functionally with clinical staff, IT professionals, and data analysts to design, implement, and maintain secure data pipelines. They participate in virtual meetings to understand data requirements, clarify data definitions, and ensure compliance with healthcare regulations such as HIPAA. Collaboration tools and secure communication platforms are essential to share updates, resolve issues, and document workflows. This teamwork helps ensure that data is accurate, accessible, and protected, ultimately supporting improved patient outcomes and operational efficiency.

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

AspectRemote Healthcare Data EngineerRemote Healthcare Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization
Work EnvironmentDevelops data infrastructure, manages pipelines, collaborates with engineersInterprets data, creates reports, supports decision-making
Industry UsageDesigns data systems for healthcare organizations, research institutionsAnalyzes healthcare data for insights, reporting, and compliance
Common Search/ComparisonOften compared for technical roles in healthcare data managementRelated but focuses on analysis rather than infrastructure

The main difference is that Remote Healthcare Data Engineers build and maintain data systems and pipelines, while Remote Healthcare Data Analysts interpret data and generate reports. Both roles require healthcare industry knowledge, but engineers focus on data infrastructure, whereas analysts focus on data insights.

What are popular job titles related to Remote Healthcare Data Engineer jobs in California?

For Remote Healthcare Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Healthcare Data Engineer jobs in California look for?

The top searched job categories for Remote Healthcare Data Engineer jobs in California are:

What cities in California are hiring for Remote Healthcare Data Engineer jobs?

Cities in California with the most Remote Healthcare Data Engineer job openings:

Remote Healthcare Data Engineer jobs near you
Infographic showing various Remote Healthcare Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Healthcare Data Scientist (RWD)

Medeloop

San Francisco, CA • On-site, Remote

Full-time

Posted 21 days ago

Job description

We are seeking a Healthcare Data Scientist (Real-World Evidence) to answer complex healthcare and biopharma questions using large-scale real-world data and help shape the next generation of AI-powered clinical research. This is a hands-on role that combines rigorous real-world evidence analysis with deep collaboration across product, AI, and customer teams.
Internally, you will partner closely with Medeloop's AI research and product teams to design and execute real-world evidence analyses, evaluate the performance of our clinical research agents, and apply your scientific expertise to improve how our platform reasons about healthcare data. Externally, you will serve as an embedded data scientist for our partner institutions, working directly with clinicians, researchers, and life sciences organizations to scope research questions, deliver high-quality evidence, drive adoption of the platform, and expand each customer's use of Medeloop over time. This is a highly technical role centered on analytical reasoning, statistical rigor, and scientific problem-solving. Your work will directly influence both the intelligence of our AI systems and the real-world impact they create for healthcare and life sciences organizations.
Role & Responsibilities
  • Build and execute real-world evidence analyses to answer complex healthcare and biopharma questions using large-scale claims and EHR data.
  • Write high-quality, scalable code (SQL and Python; R also welcome) to define cohorts, model patient journeys, and generate rigorous, reproducible research outputs.
  • Apply clinical and statistical judgment to evaluate treatment patterns, utilization, and outcomes in observational data, reasoning carefully about bias and limitations.
  • Work directly with Medeloop's AI research agents, reviewing and challenging their analytical outputs, and partner with AI and product teams to improve how agents translate research questions into high-quality analyses.
  • Partner with customer institutions: scope their research questions, deliver evidence, drive adoption, and help expand how each institution uses Medeloop.
  • Communicate analyses, assumptions, and limitations clearly to internal teams, scientific stakeholders, and customers, translating technical findings into plain-language insight.
  • Help shape the analytical foundations and evaluation frameworks behind the next generation of AI-driven clinical research tools.
Requirements
  • PhD, or a Master's degree minimum plus 5+ years of industry experience, in a quantitative-health field (biostatistics, epidemiology, clinical trials, public health, health informatics, or health economics). PhD preferred; strong industry experience can substitute for the doctorate.
  • Strong grounding in real-world data/evidence (RWD/RWE) methodology, with domain experience in biostatistics, epidemiology, clinical trials, or public health.
  • Proven ability to answer complex clinical or biopharma questions using SQL and Python, plus statistical software (R and/or SAS).
  • Experience with large healthcare datasets, such as claims or EHR data (clinical coding systems, ICD/CPT/RxNorm), assumed to come with an RWE background.
  • Track record of producing rigorous, research-grade analyses, reports, or publications; comfort working with messy, high-dimensional data.
  • AI/ML experience required, with clear evidence of hands-on use; comfortable reviewing code and reasoning about model outputs.
  • Strong communicator; customer-facing experience preferred (trainable for the right analytical candidate).
Nice to Have
  • Experience working directly with customers and in a sales capacity.
  • Industry background strongly preferred over consulting (industry candidates preferred over consultants).

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