Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading pharma technology company is seeking a Senior Data Engineer with significant experience in clinical trials and pharmaceutical data environments. The role involves designing data pipelines, integrating data from critical systems, and supporting analytics in regulated environments. Candidates need at least 5 years of data engineering experience and strong cloud skills, particularly in AWS. This position offers a remote working option suitable for professionals in LATAM.

Qualificações

• 5+ years of experience as a Data Engineer.
• Hands-on experience with clinical trials data.
• Proficiency in AWS tools and data integration systems.

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

Clinical Trials

AWS

SQL

Python

Ferramentas

Databricks

Glue

Airflow

EMR

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