Intone
From Intone's careers page
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We are seeking a Clinical Data Engineer for a 12-month contract position, remote within the US.
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
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
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
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