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 leading pharmaceutical data services provider is seeking a Senior Data Engineer to design and maintain data pipelines for clinical trials. The position requires extensive experience in pharma data environments, strong skills in AWS services such as Glue and Airflow, as well as proficiency in SQL and Python. Collaboration with clinical operations and IT teams is essential, making this a crucial role for upcoming projects in LATAM. Remote work is offered.

Qualificações

• 5+ years as a Data Engineer is essential.
• Hands-on experience in pharmaceutical data is vital.
• Familiarity with regulated data standards like CDISC/SDTM is required.

Responsabilidades

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

Conhecimentos

Data Engineering

SQL

Python

AWS (Glue, Airflow, Athena, EMR)

Clinical Trials Experience

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