Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 441.000 - 663.000; Tempo integral

Resumo da oferta

A leading pharmaceutical data services company is hiring a Senior Data Engineer in Brazil to design and maintain data pipelines for clinical trials. Candidates must have 5+ years of experience in data engineering, specifically in pharma and clinical trials, along with strong AWS, SQL, and Python skills. This remote role offers collaboration with clinical operations and IT teams while supporting analytics in regulated environments.

Qualificações

• 5+ years of experience as a Data Engineer.
• Experience in the pharmaceutical industry or clinical trials.
• Hands-on experience with data systems like CTMS, EDC, eTMF.
• Strong AWS skills including AWS Glue, Airflow, Athena, and EMR.
• Proficiency in Databricks, Spark, and SQL.

Responsabilidades

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

Conhecimentos

AWS

Python

SQL

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