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 consultancy is seeking a Senior Data Engineer for clinical trials in Brazil. The role involves designing data pipelines, integrating data from various systems, and ensuring compliance in regulated environments. Candidates must have over 5 years of experience in data engineering, with hands-on proficiency in pharmaceutical data and strong AWS skills. This position offers a remote work option within LATAM.

Qualificações

• 5+ years of experience as a Data Engineer in a pharmaceutical context.
• Hands-on experience with CTMS, EDC, eTMF systems.
• Strong knowledge of AWS tools for data engineering.

Responsabilidades

• Design and maintain data pipelines for clinical trial data.
• Integrate various data sources to support analytics.
• Collaborate with other teams in compliance with GxP standards.

Conhecimentos

Data Engineering

Clinical Trials

Cloud (AWS)

SQL

Python

ETL Processes

Ferramentas

AWS Glue

Databricks

Apache Airflow

SQL

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