Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A pharmaceutical data solutions company is seeking a Senior Data Engineer with at least 5 years of experience in pharmaceutical environments. The role involves designing data pipelines, integrating systems like CTMS, EDC, and eTMF, and supporting analytics in regulated areas. Strong AWS skills are required. This position offers remote opportunities in LATAM, making it ideal for candidates in Brazil.

Qualificações

• 5+ years as a Data Engineer.
• Experience in pharma/clinical trials is mandatory.
• Hands-on with CTMS, EDC, eTMF.
• Familiarity with CDISC / SDTM and regulated data standards.

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.
• Collaborating with clinical operations, biostatistics, and IT teams.

Conhecimentos

AWS (Glue, Airflow, Athena, EMR)

Databricks

Spark

SQL

Python

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