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Clinical Data Engineer Jobs (NOW HIRING)

Data Engineer

Dallas, TX

$113K - $136K/yr

Additionally, you will support the design, implementation, and maintenance of key clinical and ... Develop and promote best practices in data engineering, data modeling, and pipeline design

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

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 ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Additionally, you will support the design, implementation, and maintenance of key clinical and ... Develop and promote best practices in data engineering, data modeling, and pipeline design

About Perceptive Our mission is to shape the future of clinical research. With decades of ... Programming data cleaning/consistency checking programs to support internal applications for all ...

Help incorporate new clinical data sources into the warehouse ecosystem. • Optimize warehouse ... engineers and analysts. Share best practices and elevate technical standards across the data ...

Data Engineer

Los Angeles, CA

$123K - $148K/yr

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 ...

Data Engineer

Dallas, TX · Remote

$113K - $136K/yr

Additionally, you will support the design, implementation, and maintenance of key clinical and ... Develop and promote best practices in data engineering, data modeling, and pipeline design

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

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 ...

Data Engineer

Dallas, TX · Remote

$117K - $140K/yr

Additionally, you will support the design, implementation, and maintenance of key clinical and ... Develop and promote best practices in data engineering, data modeling, and pipeline design

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Additionally, you will support the design, implementation, and maintenance of key clinical and ... Develop and promote best practices in data engineering, data modeling, and pipeline design

Software Engineer, Clinical Data

Seattle, WA · 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 ...

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Clinical Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do clinical data engineer jobs pay per year?

As of Jun 19, 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:

$113K - $136K/yr

Other

Posted 22 days ago


Job description

This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis.
Role Summary
Loopback Health is seeking an innovative and team-oriented Data Engineer to join our team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and transformation processes that power analytics and client solutions. You will play a critical role in managing data flows, ensuring data quality, and collaborating with cross-functional teams to drive system and process improvements. Additionally, you will support the design, implementation, and maintenance of key clinical and enterprise datasets.
Key Responsibilities
  • Design, build, and maintain scalable data pipelines to ingest, transform, and deliver data across diverse sources and environments
  • Develop and manage ETL/ELT processes within cloud-based data platforms (e.g., Snowflake, Databricks)
  • Own and maintain data transformation logic, codebases, and supporting documentation
  • Model and optimize data structures within data lakes and data warehouses to support analytics and reporting use cases
  • Ensure data reliability, integrity, and performance to meet client and application SLA requirements
  • Manage evolving data ingestion formats across Health Systems, Life Sciences, and Enterprise partner ecosystems
  • Drive automation and continuous improvement of data workflows to reduce manual effort and increase efficiency
  • Implement data quality checks, monitoring, and validation processes
  • Collaborate with business and technical stakeholders to gather requirements and translate them into scalable data solutions
  • Develop and promote best practices in data engineering, data modeling, and pipeline design
  • Conduct data profiling and support testing efforts in partnership with QA and DevOps teams
Qualifications
Required:
  • 3-5 years of experience in Data Engineering, Data Integration, or a related field
  • Experience designing and building data pipelines and transformation workflows
  • Hands-on experience with cloud data platforms (Snowflake, Databricks) and cloud environments (Azure)
  • Strong experience with SQL and at least one programming language (e.g., Python, C#)
  • Experience with relational and non-relational data modeling, schema design, and performance optimization
  • Familiarity with data lake and data warehouse architecture
Preferred:
  • Experience working with healthcare or clinical data
  • Knowledge of data orchestration tools and workflow management
  • Experience implementing data quality frameworks and automated testing
  • Ability to communicate complex technical concepts to both technical and non-technical stakeholders
Soft Skills
  • Detail-oriented and data-driven.
  • Proactive in identifying inefficiencies and suggesting pragmatic solutions.
  • Comfortable working in a cross-functional, data-intensive environment.
  • Strong communication and documentation skills.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.