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 leading nearshore technology firm is hiring a Senior Data Engineer for clinical trials based in Brazil. You'll design and maintain data pipelines, support analytics in regulated environments, and collaborate with clinical teams. Required qualifications include over 5 years of experience in data engineering and strong familiarity with pharmaceutical data systems. This remote role offers the opportunity to apply your cloud skills in a specialized domain.

Qualificações

• 5+ years of experience as a Data Engineer.
• Strong experience in pharmaceutical or clinical trials is mandatory.
• Hands-on expertise with CTMS, EDC, and eTMF systems.

Responsabilidades

• Designing and maintaining data pipelines for clinical trial data.
• Integrating data from various systems in a regulated environment.
• Supporting analytics and reporting in GxP environments.

Conhecimentos

Data Engineering

Pharmaceutical data environments

AWS

SQL

Python

Databricks

Airflow

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