Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading technology solutions provider is hiring a Senior Data Engineer specializing in clinical trials. This role requires 5+ years of experience as a Data Engineer, expertise in pharmaceutical data environments, and strong AWS skills. You'll design data pipelines, integrate data, and support analytics in regulated settings. This fully remote position is geared towards professionals with a solid background in both data engineering and clinical trials.

Qualificações

• 5+ years experience as a Data Engineer.
• Hands-on experience in clinical trials and pharma data environments.
• Strong cloud skills, specifically with AWS technologies.

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.

Conhecimentos

Data pipeline design

Clinical trials experience

AWS (Glue, Airflow, Athena, EMR)

SQL

Python

Databricks / Spark

CDISC / SDTM familiarity

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