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Clinical Data Engineer Jobs (NOW HIRING)

Circadia Health

Data Engineer

El Segundo, CA ยท On-site

$122K - $146K/yr

About the Role As a Data Engineer at Circadia Health, you will play a critical role in building and ... Clinical notes and progress notes * Vital signs and physiological measurements * Work with health ...

Actalent

Clinical Data Coordinator

New Haven, CT

$28 - $31.83/hr

Job Title: Clinical Data Coordinator๏ปฟ We are seeking a Clinical Data Coordinator to join the ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

ProPharma Group

Clinical Data Manager

Charleston, WV ยท On-site +1

Responsible for working with the assigned Clinical Database Programmer(s) to ensure the development of the Data Flow Chart(s), Data Transfer Specifications and Import Guidelines. * Assist with site ...

New

IQVIA

Clinical Data Manager

Durham, NC

$68K - $171K/yr

Responsible for working with the assigned Clinical Database Programmer(s) to ensure the development of the Data Flow Chart(s), Data Transfer Specifications and Import Guidelines. * Assist with site ...

New

IQVIA

Clinical Data Manager

Durham, NC

$68K - $171K/yr

Responsible for working with the assigned Clinical Database Programmer(s) to ensure the development of the Data Flow Chart(s), Data Transfer Specifications and Import Guidelines. * Assist with site ...

New

Systimmune

Director, Clinical Data Management

Redmond, WA ยท On-site

$190K - $250K/yr

Collaborate closely with Clinical Operations, Biostatistics, Statistical Programming, Medical ... Minimum 10 years of clinical data management experience within the pharmaceutical, biotechnology ...

Xealth

Software Engineer, Clinical Data

Seattle, WA ยท On-site

$130K - $156K/yr

... data and automation to empower care providers. They are seeking a Software Engineer to design, build, and scale services that enhance EHR integrations and clinical workflows, applying strong computer ...

Systimmune

Clinical Data Manager

Redmond, WA ยท On-site

$100K - $170K/yr

The Clinical Data Manager (CDM) plays a broad role in interfacing with clinical study teams ... Biostatisticians, Statistical Programmers, Medical Monitors, Clinical Scientists, Clinical Project ...

Xealth

Software Engineer, Clinical Data

Seattle, WA

$130K - $156K/yr

... and clinical workflow automation. * EHR Integration Engineering: Architect and implement integration services leveraging HL7 v2, FHIR, and EHR-specific APIs. Move beyond simple data exchange to ...

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All JobsClinical Data Engineer Jobs

Clinical Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do clinical data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for clinical data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Clinical Data Engineer vs Data Analyst?

AspectClinical Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Bioinformatics, or related field; knowledge of databases and programmingBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentHealthcare settings, research institutions, biotech companiesBusiness, healthcare, or research organizations across various industries
Employer & Industry UsageUsed in clinical research, healthcare IT, and pharmaceutical industriesUsed broadly in finance, marketing, healthcare, and other sectors

Clinical Data Engineers focus on building and maintaining data systems specific to clinical and healthcare data, requiring technical skills in databases and programming. Data Analysts interpret data to generate insights, often using visualization tools. While both roles handle data, Clinical Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and reporting.

What is a clinical data engineer?

A Clinical Data Engineer is a professional who designs, develops, and manages systems and processes for collecting, storing, and analyzing clinical trial or healthcare data. They work with large datasets, often using programming and database management skills, to ensure data integrity, quality, and security. Clinical Data Engineers collaborate with clinical researchers, data managers, and IT teams to streamline data workflows and support regulatory compliance. Their work is essential for enabling accurate analysis and reporting in clinical studies and improving healthcare outcomes.

What are the key skills and qualifications needed to thrive as a clinical data engineer, and why are they important?

To thrive as a Clinical Data Engineer, you need a strong background in data management, database design, and clinical data standards, often supported by degrees in computer science, health informatics, or related fields. Familiarity with tools such as SQL, Python, EDC systems (like Medidata or Oracle Clinical), and certifications in data handling or clinical research are typically required. Attention to detail, analytical thinking, and strong communication skills are essential soft skills for collaborating across clinical and technical teams. These skills ensure accurate data integration, regulatory compliance, and effective support for clinical research and decision-making.

How does a clinical data engineer typically collaborate with clinical research teams during a clinical trial?

Clinical Data Engineers work closely with clinical research teams to ensure that data collected during trials is accurate, secure, and accessible. They often design and maintain data pipelines, troubleshoot data integration issues, and provide technical support to clinical staff. Regular meetings with data managers, biostatisticians, and clinical coordinators help align technical solutions with study protocols and regulatory requirements. This collaborative environment ensures that data-driven insights can be generated efficiently and reliably throughout the study lifecycle.
More about Clinical Data Engineer jobs

What states have the most Clinical Data Engineer jobs?

States with the most job openings for Clinical Data Engineer jobs include:

What job categories do people searching Clinical Data Engineer jobs look for?

The top searched job categories for Clinical Data Engineer jobs are:

Clinical Data Engineer jobs near you
Infographic showing various Clinical Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Circadia Health

El Segundo, CA โ€ข On-site

$122K - $146K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 25 days ago

Job description

About Circadia Health

Circadia Health is a growth-stage healthcare AI company on a mission to prevent avoidable hospitalizations and transform senior-care operations. Our Circadia Intelligence Platform combines:

  • Contactless sensing that monitors respiration and motion with medical-grade accuracy

  • Native predictive models that detect 85% of preventable adverse events several days in advance

  • Enterprise integrations that operationalize predictions directly inside EHR, care-coordination, billing, and compliance workflows

Today, our technology touches 40,000+ post-acute patients daily across skilled-nursing, home-health, and home-care networks. We are backed by leading healthcare and AI investors and headquartered in El Segundo, CA.

About the Role

As a Data Engineer at Circadia Health, you will play a critical role in building and maintaining the data infrastructure that powers Circadia's AI-driven clinical monitoring platform. You will design and operate robust data pipelines that ingest, transform, and distribute sensitive healthcare data originating from Electronic Health Record (EHR) systems, medical devices, and hospital information systems.


Reporting directly to the CTO, you will work closely with backend engineers, ML engineers, clinical teams, and customer integration partners to ensure reliable, secure, and compliant flow of patient data - including ADT events, conditions, medications, allergies, clinical notes, and vital signs.


Your work will directly enable Circadia's predictive analytics and machine learning models that identify early signs of clinical deterioration, helping clinicians intervene sooner and improve patient outcomes. This is a hands-on role where production-grade data engineering, reliability, and healthcare compliance are non-negotiable.

Key Responsibilities
  • Design, build, and maintain scalable data pipelines to ingest healthcare data from customer EHR systems and hospital databases.
  • Develop integrations using:
    • REST APIs and webhook-driven workflows
    • Database log shipping and change data capture (CDC) mechanisms, including Microsoft SQL Server-based systems
  • Transform, validate, and normalize incoming clinical data before loading it into Circadia's MySQL and Snowflake environments.
  • Ensure pipelines are robust, fault-tolerant, and capable of handling large data volumes.
  • Integrate and manage healthcare data domains including:
    • Admissions, Discharges, Transfers (ADT)
    • Conditions, medications, allergies
    • Clinical notes and progress notes
    • Vital signs and physiological measurements
  • Work with healthcare interoperability standards and protocols such as:
    • HL7 v2
    • FHIR
  • Partner with customer technical teams to support onboarding, troubleshooting, and ongoing data reliability.
  • Take ownership of Circadia's operational databases and analytical data warehouses.
  • Design schemas and transformations that support both real-time application needs and downstream analytics and ML workloads.
  • Optimize performance, cost, and scalability within Snowflake and MySQL.
  • Deploy and operate data pipelines and services in AWS.
  • Implement monitoring, logging, alerting, and operational dashboards for data workflows.
  • Support production reliability, incident response, and continuous improvement of data systems.
  • Ensure all data pipelines meet healthcare security and privacy requirements, including HIPAA and SOC 2.
  • Apply best practices for handling Protected Health Information (PHI), including access control, encryption, and audit logging.
  • Maintain clear documentation of data flows, transformations, and operational processes.
  • Work closely with Data Science and ML teams to support:
    • Model training and evaluation
    • Feature generation and data labeling workflows
  • Collaborate with backend engineers to develop internal tooling for data ingestion, validation, and monitoring.
  • Participate in architecture discussions to ensure data systems scale with Circadia's growth.
Required Qualifications
  • 5+ years of experience in Data Engineering, Backend Engineering, or a closely related role.
  • Strong proficiency in Python for data pipeline and backend development.
  • Strong proficiency in SQL.
  • Hands-on experience with MySQL and Snowflake, including schema design and performance optimization.
  • Experience integrating data from Microsoft SQL Server, including log shipping or CDC-style approaches.
  • Experience building high-throughput data pipelines from ingestion through transformation and storage.
  • Experience deploying and operating production systems in a major cloud provider (AWS preferred).
  • Familiarity with APIs, webhooks, and event-driven architectures.
  • Experience working with sensitive or regulated data.
What You Bring
  • You take ownership of data systems end-to-end - from ingestion to analytics.
  • You care deeply about data quality, reliability, and operational excellence.
  • You are comfortable working in complex integration environments where every customer system is different.
  • You communicate clearly across engineering, data, and clinical teams.
  • You're motivated by building technology that directly improves patient care.
Why Circadia Health

Circadia Health is redefining patient monitoring through contactless sensing and AI-driven clinical insights. As we scale from tens of thousands to hundreds of thousands of monitored patients, our data infrastructure is central to everything we do.
You'll have the opportunity to:
- Work on real-world healthcare problems with measurable patient impact
- Build data systems that power clinical-grade AI and ML
- Take ownership in a fast-growing, mission-driven company
- Collaborate with a highly skilled, multidisciplinary team

$150,000 - $220,000 a year

As a full-time Data Engineer, you will be employed by Circadia Health, Inc. The anticipated annual base salary range for this full-time position is $150,000 - $220,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience, and location.ย 

Annual salary is only one part of an employee's total compensation package at Circadia Health. We also offer:

  • Meaningful employee stock options
  • 100% company-paid medical, dental, and vision coverage
  • 401(k)
  • Competitive time off with pay policies including vacation, sick days, and company holidays
  • Impact: your work will influence care decisions for tens of thousands of seniors every day.
  • Culture: hard-working, mission-driven, and collaborative - with weekly and monthly social events like yoga, beach bonfires, and Wednesday/Friday team lunches.

Circadia Health is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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