Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 441.000 - 608.000; Tempo integral

Resumo da oferta

A technology solutions provider is seeking a Senior Data Engineer to design data pipelines and integrate data for clinical trials. Candidates should have over 5 years of experience in data engineering, specifically in pharmaceutical clinical trials. Knowledge of CTMS, EDC, and eTMF systems, along with strong cloud skills in AWS and data analysis tools, is essential for this role. This position accommodates remote work in LATAM and offers engaging projects in the clinical trials domain.

Qualificações

• 5+ years of experience as a Data Engineer.
• Mandatory experience in pharmaceutical or 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 regulated (GxP) environments.

Conhecimentos

AWS Glue

AWS Airflow

AWS Athena

Databricks / Spark

SQL

Python

Clinical trials

Data engineering

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