Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A tech solutions company is seeking a Senior Data Engineer with experience in clinical trials to design and maintain data pipelines. The ideal candidate will have over 5 years in data engineering, strong AWS skills, and hands-on experience with clinical data systems such as CTMS, EDC, and eTMF. This fully remote position offers exciting projects in the pharmaceutical domain, making it essential for candidates to be familiar with regulated environments and clinical data standards.

Qualificações

• 5+ years of experience as a Data Engineer.
• Mandatory experience in pharma and clinical trials.
• Hands-on experience with CTMS, EDC, and eTMF systems.

Responsabilidades

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

Conhecimentos

Data Engineering

Clinical Trials Experience

AWS

SQL

Python

Databricks

Spark

Ferramentas

AWS Glue

AWS Airflow

AWS Athena

AWS EMR

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