Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 496.000 - 663.000; Tempo integral

Resumo da oferta

A specialty consulting firm is seeking a Senior Data Engineer specializing in clinical trials. The ideal candidate has over 5 years of experience, strong AWS skills, and expertise in CTMS, EDC, and eTMF systems. Responsibilities include designing data pipelines, supporting analytics in regulated environments, and collaborating with clinical teams. This role is fully remote and offers a chance to work in a dynamic pharmaceutical project environment.

Qualificações

• 5+ years as a Data Engineer.
• Mandatory experience in pharma/clinical trials.
• Hands-on with CTMS, EDC, eTMF.
• Strong AWS skills required.
• Familiarity with CDISC/SDTM standards is a plus.

Responsabilidades

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

Conhecimentos

Data engineering

Pharmaceutical data handling

AWS services (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