Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 386.000 - 497.000; Tempo integral

Resumo da oferta

A leading data analytics firm is seeking a Senior Data Engineer to work remotely on clinical trials data management. The ideal candidate will have a minimum of 5 years' experience and must possess expertise in designing data pipelines and integrating clinical trial systems. Proficient knowledge in AWS, SQL, and Python is crucial. The position requires solid experience in the pharmaceutical sector, particularly in regulated data environments, making this a specialized role within the industry.

Qualificações

• 5+ years as a Data Engineer.
• Experience in pharma/clinical trials is mandatory.
• Strong hands-on experience with CTMS, EDC, and 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 environments.

Conhecimentos

Data pipelines design

AWS (Glue, Airflow, Athena, EMR)

SQL

Python

Familiarity with CDISC/SDTM

Ferramentas

Databricks

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