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 software solutions provider is seeking a Senior Data Engineer with expertise in clinical trials to support critical projects. This role focuses on designing and maintaining data pipelines, integrating various clinical data systems, and ensuring compliance with regulatory environments. Successful candidates should have over 5 years of experience and strong skills in AWS, SQL, and Python. This position is fully remote, catering to professionals in LATAM.

Qualificações

• 5+ years as a Data Engineer.
• Experience in pharma / clinical trials is mandatory.
• Hands-on with CTMS, EDC, eTMF.

Responsabilidades

• 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.

Conhecimentos

AWS (Glue, Airflow, Athena, EMR)

SQL

Python

Databricks / Spark

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