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 technology firm is seeking a Senior Data Engineer to work on clinical trial data projects. The role requires 5+ years of experience, specifically in pharmaceutical data environments. Key responsibilities include designing data pipelines, integrating various data systems, and supporting analytics in regulated environments. Candidates must have strong skills in AWS, SQL, and Python, along with hands-on experience with CTMS, EDC, and eTMF systems.

Qualificações

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

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 teams in clinical operations and IT.

Conhecimentos

AWS experience

SQL

Python

Databricks / Spark

Familiarity with CDISC / SDTM

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