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Clinical Data Engineer Jobs (NOW HIRING)

Syndeo,-LL

Data Engineer

Carolina, PR · On-site

$60 - $80/hr

Syndeo's Data Science practice combines clinical and financial data into a single, automated view ... We are looking for a Data Engineer to build and operate the pipelines that make this possible ...

Novellia

Clinical Data Manager

New York, NY · On-site

$115K - $145K/yr

Collaborate with a cross-functional team including technical (e.g., software engineering, data ... Collaborate with clinical experts to ensure all data curation and QA/QC are aligned with clinical ...

Verantos

Senior Data Engineer

$108K - $147K/yr

They are seeking a Senior Data Engineer to build and manage data pipelines that handle complex clinical data, ensuring quality and automation in data processing. Responsibilities : • Lead the ...

Verantos

Senior Data Engineer

$108K - $147K/yr

They are seeking a Senior Data Engineer to build and maintain data pipelines that handle complex, real-world clinical data, ensuring quality and reliability while contributing to quarterly data ...

Doist

Clinical Data Manager

Manhattan, NY · On-site

$125 - $150/hr

Collaborate with a cross-functional team including technical (e.g., software engineering, data ... Collaborate with clinical experts to ensure all data curation and QA/QC are aligned with clinical ...

Novellia

Clinical Data Manager

Manhattan, NY · On-site

$125 - $150/hr

Collaborate with a cross-functional team including technical (e.g., software engineering, data ... Collaborate with clinical experts to ensure all data curation and QA/QC are aligned with clinical ...

Exagen Inc.

Clinical Data Scientist

Carlsbad, CA

The Clinical Data Scientist (CDS) turns Exagen's clinical, serologic, and laboratory data into ... Work with the data engineering team to ensure that data collected via the EDC and other instruments ...

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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 Sep 8, 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 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.

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.

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.

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.

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 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Syndeo,-LL

Carolina, PR • On-site

$60 - $80/hr

Other

Posted 5 days ago

Key responsibilities

  • Design, build, and maintain ETL/ELT pipelines that ingest data from core services and the iConnect interoperability engine

  • Build and evolve data warehouse and data lake models that unify clinical and financial data for Data Science consumption

  • Establish and enforce data quality, integrity, lineage, and governance standards across all pipelines

Job description

Salary Range: $65,000.00 To $70,000.00 Annually

Description:

Syndeo's Data Science practice combines clinical and financial data into a single, automated view of the pathology business, a capability that sets our platform apart. We are looking for a Data Engineer to build and operate the pipelines that make this possible, pulling structured and unstructured data out of Artyfica's core services (LAB, RCM, CRM) and the iConnect interoperability engine, and turning it into governed, analytics-ready datasets. This role is foundational to the Data Science layer of Artyfica, working closely with the Data Analyst, Data Scientists, Product Owner, and Scrum Master to keep the ecosystem's intelligence layer fast, trustworthy, and scalable.

Responsibilities of the job include:
  • Design, build, and maintain ETL/ELT pipelines that ingest data from Artyfica's core services (LAB, RCM, CRM) and the iConnect interoperability engine
  • Build and evolve data warehouse and data lake models that unify clinical and financial data for Data Science consumption
  • Establish and enforce data quality, integrity, lineage, and governance standards across all pipelines
  • Partner with Data Analysts and Data Scientists to expose clean, curated, well-documented datasets for reporting and modeling
  • Optimize pipeline performance and scalability as data volume and organizational onboarding grows
  • Implement monitoring and alerting to proactively catch pipeline failures or data quality issues
  • Collaborate with the Software Development team to align data schemas with Artyfica's service-oriented architecture
  • Maintain data catalogs and documentation for all pipelines and datasets
  • Support ingestion of HL7, FHIR, X12, and BAI2 (BTRS) data structures arriving through iConnect
Required skills:
  • Proficient in Python and/or Java for data engineering work
  • Strong SQL skills and hands-on experience with relational databases (Postgres preferred)
  • Experience with ETL/ELT design and orchestration tools (e.g., Airflow or equivalent)
  • Solid understanding of data warehousing and data lake concepts and dimensional modeling
  • Working knowledge of data governance principles and secure handling of protected health information (PHI)
  • Proficient with Git and version control workflows
  • Comfortable operating within Agile Scrum and Kanban practices
  • Logical thinker with strong analytical and problem-solving skills
  • Written and verbal communication skills in both Spanish and English
Desired skills:
  • Experience with healthcare interoperability standards: HL7, FHIR, X12, BAI2
  • Exposure to cloud or analytics platforms such as Snowflake, ClickHouse, or Trino
  • Prior experience integrating financial and clinical data domains
  • Familiarity with streaming or event-driven pipelines (e.g., Kafka)
  • Experience with Docker and containerized data services
Qualifications and training:
  • Bachelor's Degree in Computer Science, Data Engineering, or a related field
  • 3+ years of experience in data engineering
  • Experience with healthcare, RCM, or laboratory data preferred
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