Clinical data engineer

We are seeking a Clinical Data Engineer for a 12-month contract position, remote within the US. This role is ideal for a data engineering professional with pharma or medical device experience who understands GxP-regulated environments and can design, build, and support clinical data pipelines and integrations.

Responsibilities

• Design and develop data pipelines for multi-source clinical and operational data integration
• Build and maintain data models, ensuring alignment with clinical data standards and quality checks
• Support operational dashboards and data visualizations using tools such as Power BI, Tableau, and/or QlikView
• Validate data formats and file/API-based integrations against transfer specifications
• Implement and document data processes in compliance with GxP-regulated practices, including change control and audit readiness
• Collaborate with cross-functional teams to translate data requirements into technical solutions
• Maintain version control and support CI/CD pipelines where applicable
• Monitor and optimize pipeline performance, logging, and data refresh cycles

Qualifications

• Required

• Bachelor's degree (or equivalent) in a relevant field

• 3+ years of professional experience in data engineering, pipeline development, or data operations

• Multi-source data integration experience in a clinical, biopharma, or medical device environment

• Foundational SQL skills and understanding of data modeling and data quality checks

• Proficiency in Python or R

• Hands-on experience with CSV, JSON, XML, and file/API-based integrations

• Experience or exposure to GxP-regulated practices, data integrity expectations, and controlled procedures

• Strong collaboration, communication, and organizational skills with attention to detail

• Preferred

• Proficiency in Python

• Experience designing and supporting operational dashboards and data visualizations

• Familiarity with NoSQL databases and integration patterns

• Exposure to building and supporting pipelines with basic testing, logging, and monitoring

• Familiarity with Agile methodologies and software development lifecycle concepts

• Jira and Confluence experience

• Awareness of CDISC, CDASH, and SDTM standards

• Exposure to AWS and/or Azure cloud platforms

• Experience with modern data platforms such as Snowflake, Databricks, or Spark

• Working knowledge of GitHub or GitLab version control

• CI/CD pipeline experience

• AWS or Azure certification