Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 120.000 - 150.000; Tempo integral

Resumo da oferta

A specialized consulting firm is hiring a Senior Data Engineer for remote work in Brazil. The role requires expertise in clinical trials and pharmaceutical data environments, specifically with CTMS, EDC, and eTMF systems. Candidates should have over 5 years of experience and strong AWS skills, including services like Glue and Airflow. The job involves designing data pipelines and collaborating with multiple teams to support data analytics in regulated environments.

Qualificações

• 5+ years as a Data Engineer in clinical trials or pharmaceutical data environments.
• Experience with CTMS, EDC, and eTMF systems is mandatory.
• Strong AWS cloud skills required.

Responsabilidades

• Design and maintain data pipelines for clinical trial data.
• Integrate data from CTMS, EDC, and eTMF systems.
• Support analytics and reporting in regulated (GxP) environments.
• Collaborate with clinical operations, biostatistics, and IT teams.

Conhecimentos

Data pipeline design

AWS (Glue, Airflow, Athena, EMR)

Databricks / Spark

Python

SQL

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