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Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists

Teletrabalho

BRL 441.000 - 553.000

Tempo integral

Há 2 dias
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Resumo da oferta

A pharmaceutical technology firm is seeking a Senior Data Engineer specializing in clinical trials. The ideal candidate will have over 5 years of experience in data engineering within pharma environments, hands-on skills with CTMS, EDC, eTMF systems, and strong cloud expertise in AWS, including Glue and Airflow. Responsibilities include designing data pipelines, integrating clinical trial data, and collaborating with clinical operations. This position offers remote opportunities in LATAM.

Qualificações

  • 5+ years as a Data Engineer in pharma or clinical trials.
  • Strong hands-on experience with CTMS, EDC, eTMF.
  • Familiarity with CDISC/SDTM and 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 and IT teams.

Conhecimentos

Data engineering
Cloud computing
SQL
Python
ETL processes

Ferramentas

AWS
Databricks
Airflow
Glue
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
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