Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 496.000 - 663.000; Tempo integral

Resumo da oferta

A leading data engineering company is seeking a Senior Data Engineer specialized in clinical trials and pharmaceutical data. This position requires at least 5 years of experience in data engineering, along with hands-on experience with CTMS, EDC, and eTMF systems. Strong skills in AWS (Glue, Airflow, Athena, EMR), Databricks, SQL, and Python are essential. The role supports the design of data pipelines and analytics in regulated environments, with a focus on collaboration with clinical operations teams.

Qualificações

• 5+ years of experience as a Data Engineer.
• Hands-on experience with CTMS, EDC, and eTMF systems.
• Experience in pharma or clinical trials is mandatory.

Responsabilidades

• Design and maintain data pipelines for clinical trial data.
• Integrate data from CTMS, EDC, and eTMF systems.
• Support analytics and reporting in regulated environments.

Conhecimentos

AWS (Glue, Airflow, Athena, EMR)

Databricks / Spark

SQL

Python

Descrição da oferta de emprego

🚨 We’re Hiring | Senior Data Engineer – Clinical Trials (Pharma) 🚨

🌎 Remote | Nearshore | LATAM

We’re looking for a Senior Data Engineer with hands‑on experience in clinical trials and pharmaceutical data environments to support ongoing and upcoming projects.

This is a domain‑specific role — strong cloud skills are required, but clinical trial experience is mandatory.

🔬 What You’ll Work On

• Designing and maintaining data pipelines for clinical trial data
• Integrating data from CTMS, EDC, and eTMF systems
• Supporting analytics and reporting in regulated (GxP) environments
• Collaborating with clinical operations, biostatistics, and IT teams

🧠 Required Experience

• ✅ 5+ years as a Data Engineer
• ✅ Experience in pharma / clinical trials (this is a must)
• ✅ Hands‑on with CTMS, EDC, eTMF
• ✅ Strong AWS experience (Glue, Airflow, Athena, EMR)
• ✅ Databricks / Spark , SQL, Python
• ✅ Familiarity with CDISC / SDTM and regulated data standards