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Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists

Teletrabalho

BRL 80.000 - 120.000

Tempo integral

Ontem
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Resumo da oferta

A leading data solutions company is seeking a Senior Data Engineer to work remotely on clinical trials projects. The ideal candidate will possess over 5 years of experience, specifically in the pharmaceutical domain, with a strong emphasis on designing data pipelines and integrating clinical trial data. Proficiency in AWS and familiarity with data management systems are essential for this role, which supports analytics in highly regulated environments.

Qualificações

  • 5+ years as a Data Engineer with a strong background in clinical trials.
  • Experience in designing and maintaining data pipelines for regulated environments.
  • Hands-on experience with data integration systems like CTMS, EDC, 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 pipeline design
Cloud skills
SQL
Python
AWS (Glue, Airflow, Athena, EMR)
Databricks / Spark
Clinical trials experience
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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