Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 150.000 - 200.000; Tempo integral

Resumo da oferta

A leading data solutions company is seeking a Senior Data Engineer to support clinical trials. This role requires a minimum of 5 years of experience as a Data Engineer, with mandatory hands-on experience in pharmacological environments and data management systems such as CTMS, EDC, and eTMF. Strong AWS skills including Glue and Airflow are essential, alongside proficiency in SQL and Python. The position is remote and involves collaboration with cross-functional teams to ensure successful data handling in regulated environments.

Qualificações

• 5+ years as a Data Engineer.
• Experience in pharma/clinical trials is mandatory.
• Familiarity with CDISC/SDTM and regulated data standards.

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.
• Collaborating with clinical operations, biostatistics, and IT teams.

Conhecimentos

Data pipeline design

AWS services (Glue, Airflow, Athena, EMR)

SQL

Python

Databricks/Spark

Clinical trials experience

Ferramentas

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