Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 441.000 - 553.000; Tempo integral

Resumo da oferta

A leading technology company is hiring a Senior Data Engineer to work remotely in Brazil. The successful candidate will focus on designing data pipelines specifically for clinical trials, integrating various data systems, and supporting analytics in regulated environments. Strong experience in pharmaceuticals and key cloud technologies, especially AWS, is essential. This role promises collaborative efforts across clinical operations and IT to drive impactful data strategies.

Qualificações

• 5+ years as a Data Engineer.
• Experience in pharma / clinical trials required.
• Hands-on with CTMS, EDC, eTMF essential.
• Familiarity with CDISC / SDTM and regulated data standards.

Responsabilidades

• Designing and maintaining data pipelines for clinical trial data.
• Integrating data from CTMS, EDC, eTMF systems.
• Supporting analytics and reporting in regulated (GxP) environments.
• Collaborating with clinical operations and IT teams.

Conhecimentos

Data Engineering

Cloud Computing

SQL

Python

AWS

Ferramentas

Databricks

Glue

Airflow

Athena

EMR

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