Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading technology solutions provider is seeking a Senior Data Engineer to support clinical trial projects. The ideal candidate will have over 5 years of experience in data engineering, specifically in the pharmaceutical sector. Key responsibilities include designing data pipelines and integrating data from clinical trial management systems. Strong experience with AWS services, alongside expertise in SQL and Python, is essential. This role is remote, with preferred candidates located in Brazil or LATAM.

Qualificações

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

Responsabilidades

• Design and maintain data pipelines for clinical trial data.
• Integrate data from various clinical trial systems.
• Support analytics and reporting in regulated environments.

Conhecimentos

Data Engineering

AWS (Glue, Airflow, Athena, EMR)

SQL

Python

Familiarity with 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