Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 150.000 - 220.000; Tempo integral

Resumo da oferta

A leading pharmaceutical data solutions company is seeking a Senior Data Engineer to design and maintain data pipelines for clinical trial data. The ideal candidate will have over 5 years of experience in data engineering with a strong emphasis on clinical trials and pharmaceutical data environments. Required skills include AWS, Databricks, and familiarity with clinical data standards. The role is remote and involves collaboration with clinical operations and IT teams.

Qualificações

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

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 Engineering

Cloud Skills

Clinical Trial Experience

SQL

Python

AWS

Ferramentas

Databricks

Airflow

Glue

Athena

EMR

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