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Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists

Teletrabalho

BRL 441.000 - 663.000

Tempo integral

Hoje
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Resumo da oferta

A leading technology firm is seeking a Senior Data Engineer to support clinical trials data projects. The ideal candidate must have over five years of experience in data engineering with a strong background in clinical trials. Key responsibilities include designing data pipelines and integrating various data systems. Experience with data tools like AWS, Databricks, SQL, and Python is required. This role is remote and focuses on the Latin American market.

Qualificações

  • 5+ years as a Data Engineer.
  • Experience in pharma / clinical trials is mandatory.
  • Hands-on with CTMS, EDC, eTMF.

Responsabilidades

  • 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.

Conhecimentos

Clinical trials experience
AWS (Glue, Airflow, Athena, EMR)
Databricks / Spark
SQL
Python
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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