Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 250.000 - 300.000; Tempo integral

Resumo da oferta

A specialized pharmaceutical data firm is seeking a Senior Data Engineer with extensive experience in clinical trials and pharmaceutical data environments. You will design and maintain data pipelines, integrate data from critical systems, and support analytics in regulated environments. Ideal candidates will have a minimum of 5 years of data engineering experience, strong AWS skills, and hands-on experience with CTMS, EDC, and eTMF systems. This is a remote role, open to candidates in LATAM.

Qualificações

• 5+ years as a Data Engineer.
• Hands-on experience in pharmaceutical/clinical trials.
• Familiarity with clinical systems like CTMS, EDC, 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 environments.
• Collaborate with clinical operations, biostatistics, and IT teams.

Conhecimentos

Data Engineering

Clinical trials experience

AWS (Glue, Airflow, Athena, EMR)

Databricks / Spark

SQL

Python

Understanding of CDISC / SDTM

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