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 North American company is seeking a Senior Data Engineer specializing in clinical trials and pharma data. This remote role involves designing data pipelines, integrating various data systems, and supporting analytics in regulated environments. Candidates must have strong AWS experience and at least 5 years in a data engineering role within the clinical trials domain. This is a unique opportunity to play a crucial part in pivotal healthcare projects.

Qualificações

• Minimum 5 years as a Data Engineer.
• Mandatory experience in pharma or clinical trials.
• Strong AWS skills, hands-on with relevant tools.

Responsabilidades

• Design and maintain data pipelines.
• Integrate data from CTMS, EDC, eTMF systems.
• Support analytics in regulated environments.
• Collaborate with clinical teams.

Conhecimentos

Data pipeline design

Cloud skills

Clinical trials experience

AWS Glue

SQL

Python

Databricks/Spark

Ferramentas

AWS

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