Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading technology firm is seeking a Senior Data Engineer with expertise in clinical trials to design and maintain data pipelines. The ideal candidate will have over 5 years of experience as a Data Engineer and a strong background in pharmaceutical environments. Responsibilities include integrating clinical data from multiple systems and supporting regulated analytics. Familiarity with AWS tools and data standards is crucial for this remote position based in Brazil.

Qualificações

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

Responsabilidades

• 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.

Conhecimentos

Data Engineering

Pharmaceutical Data

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