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 leading nearshore technology firm is seeking a Senior Data Engineer to work remotely in clinical trials and pharmaceutical data environments. The role requires collaboration with clinical, IT, and biostatistics teams to design and maintain data pipelines and support analytics within regulated environments. Ideal candidates will have over 5 years of data engineering experience, strong cloud skills (especially in AWS), and a mandatory background in clinical trials and pharma data management.

Qualificações

• 5+ years experience as a Data Engineer.
• Mandatory experience in pharma and clinical trials.
• Hands-on with CTMS, EDC, eTMF.
• Strong AWS skills required.

Responsabilidades

• Design and maintain data pipelines for clinical trial data.
• Integrate data from various clinical trial management systems.
• Support analytics in GxP environments.
• Collaborate with cross-functional teams.

Conhecimentos

Data Engineering

Pharma / Clinical Trials

AWS (Glue, Airflow, Athena, EMR)

SQL

Python

Ferramentas

Databricks / Spark

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