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 leading data solutions company is seeking a Senior Data Engineer with 5+ years of experience, specifically in clinical trials and pharmaceutical environments. The candidate will design data pipelines and integrate data from various clinical systems while supporting analytics in regulated environments. This remote position requires strong skills in AWS, SQL, and Python, along with hands-on experience with CTMS, EDC, and eTMF systems.

Qualificações

• 5+ years of experience as a Data Engineer.
• Mandatory experience in pharmaceutical/clinical trials.
• Hands-on experience with CTMS, EDC, eTMF.

Responsabilidades

• Design and maintain data pipelines for clinical trial data.
• Integrate data from various clinical trial systems.
• Support analytics and reporting in regulated environments.
• Collaborate with clinical operations and IT teams.

Conhecimentos

AWS experience

Data Engineering

SQL

Python

ETL processes

Collaboration with clinical teams

Ferramentas

Databricks

Spark

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