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 pharmaceutical data company is seeking a Senior Data Engineer with expertise in clinical trials to support various projects. The role involves designing data pipelines, integrating various data systems, and supporting analytics in regulated environments. Candidates must have over 5 years of experience and strong AWS skills, along with hands-on knowledge of CTMS, EDC, and eTMF systems. This position is remote, offering opportunities within LATAM.

Qualificações

• 5+ years of experience as a Data Engineer.
• Experienced in pharma/clinical trials, hands-on with CTMS, EDC, eTMF.
• Strong AWS skills and familiarity with regulated data standards.

Responsabilidades

• Design and maintain data pipelines for clinical trial data.
• Integrate data from CTMS, EDC, and eTMF systems.
• Support analytics and reporting in regulated environments.
• Collaborate with clinical operations, biostatistics, and IT teams.

Conhecimentos

Data Engineering

Pharmaceutical data

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