Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 414.000 - 525.000; Tempo integral

Resumo da oferta

A leading technology services provider is seeking a Senior Data Engineer to work on clinical trials and pharmaceutical data projects. The ideal candidate will have over 5 years of data engineering experience and strong expertise in CTMS, EDC, and eTMF systems, alongside a robust understanding of AWS tools like Glue and Airflow. This remote role emphasizes collaboration with clinical operations and analytics teams within regulated environments.

Qualificações

• 5+ years of experience as a Data Engineer.
• Must have experience in pharma/clinical trials.
• Strong hands-on experience with CTMS, EDC, eTMF.

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

Data Engineering

Clinical Trials Experience

AWS (Glue, Airflow, Athena, EMR)

SQL

Python

Databricks / Spark

Ferramentas

CTMS

EDC

eTMF

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