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 specialized technology firm is seeking a Senior Data Engineer focusing on clinical trials. You will design and maintain data pipelines, integrate data from various clinical systems, and support analytics in regulated environments. The ideal candidate has over 5 years of data engineering experience and must have deep knowledge of clinical trial data environments and cloud technologies, particularly AWS. This position offers a remote opportunity within LATAM.

Qualificações

• 5+ years of experience as a Data Engineer.
• Hands-on experience in clinical trials is essential.
• Strong AWS knowledge and experience.

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 Engineering

Experience in clinical trials

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