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Intego Clinical

Clinical Data Engineer (CDE)

Сosta Rica

With its Branch office in Сosta Rica, Intego Group is looking for experienced Clinical Data Engineer to join the global team working from the San José, office or remotely.

The Clinical Data Engineering (CDE) team provides strategic planning, integration, execution, build, and oversight of clinical trial data deliverables. The CDE role leads the enterprise-level integration, design, development, and execution of scalable data pipelines to ingest clinical data from all internal and external sources at the study level.

This role is responsible for ensuring seamless, end-to-end data collection and ingestion processes across all clinical data sources, delivering high-quality, submission-ready data into an enterprise data lake that is fit for downstream consumption by analytics, programming, and regulatory stakeholders.

Key Accountabilities:

Clinical Data Pipeline Leadership

  • Serve as a technical subject matter expert for building, deploying, and maintaining data pipelines supporting clinical study start-up, conduct, and close-out.
  • Lead planning, execution, and delivery of data pipeline initiatives across multiple clinical trials.
  • Own end-to-end clinical data flow across systems, ensuring reliability, scalability, and traceability.

Data Integration & Architecture

  • Design, develop, and optimize robust data pipelines integrating heterogeneous clinical data sources (e.g., EDC, eCOA, central labs, imaging, real-world data).
  • Identify, design, and implement scalable data delivery solutions, automating manual processes where possible.
  • Design and build cloud-based ETL/ELT infrastructure for optimal data ingestion and transformation.

Technical Execution & Operations

  • Define, build, validate, and maintain APIs, data streams, and staging layers for extraction and integration across systems.
  • Manage, monitor, and troubleshoot data pipelines within enterprise data lakes and data warehouses, ensuring ongoing reliability and performance.
  • Implement comprehensive data integrity, validation, and quality control checks throughout the ingestion lifecycle.

Compliance, Inspection & External Engagement

  • Prepare functional areas for submission readiness and represent Clinical Data Engineering in formal inspections and audits.
  • Support study-level negotiation and agreement for data transfer and integration standards as needed.

Cross‑Functional Collaboration

  • Partner closely with statistical programmers, SDTM programmers, clinical data programmers, and analytics teams to ensure data products meet downstream requirements.
  • Provide technical guidance and leadership while working collaboratively across all levels of the organization.
  • Appropriately escalate risks, issues, and dependencies to CDE leadership.

General requirements:

Technical Competencies

Core Technologies

  • Proficiency in Python, SQL, and NoSQL databases
  • Strong understanding of database concepts and data modeling
  • Working knowledge of XML, JSON, and API-based integrations

Cloud & Big Data

  • Hands-on experience with AWS, Azure, or GCP
  • Experience with big data processing frameworks such as Apache Spark
  • Proven expertise deploying and orchestrating data pipelines using Apache Airflow

Data Platforms & DevOps

  • Experience designing and managing data lakes and data warehouses (e.g., Snowflake, Amazon Redshift)
  • Familiarity with GitHub, GitLab, and/or Jenkins for version control and CI/CD
  • Strong understanding and application of System Development Life Cycle (SDLC) principles

Behavioral Competencies

  • Strong critical thinking and problem-solving skills
  • Ability to work collaboratively with minimal guidance across technical and non-technical teams
  • Clear communicator with the ability to explain complex technical concepts to diverse audiences

Demonstrated ownership, accountability, and attention to data quality and compliance

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