Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 441.000 - 553.000; Tempo integral

Resumo da oferta

A specialized technology company is seeking a Senior Data Engineer experienced in clinical trials for remote work in Brazil. This role requires strong cloud skills and is critical for designing data pipelines and integrating management systems. Candidates must have over 5 years of Data Engineering experience, specifically in pharma, alongside hands-on expertise with CTMS and EDC. Collaboration with clinical operations and biostatistics teams is essential. Competitive compensation and flexible work arrangements offered.

Qualificações

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

Conhecimentos

Data Engineering

Clinical Trials Experience

AWS (Glue, Airflow, Athena, EMR)

SQL

Python

Databricks / Spark

Familiarity with CDISC / SDTM

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