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., * 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

Clinical Data, GxP, Clinical Data, Data Management, Biotech and Pharmaceutical, Medical Equipment, Clinical Support, Data Modeling, Clinical Practices/Protocols, Reporting Dashboards, * 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