Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 496.000 - 663.000; Tempo integral

Resumo da oferta

A leading technology firm is seeking a Senior Data Engineer to support clinical trials and pharmaceutical data environments. This remote role requires over 5 years of experience and a strong background in clinical trials. Key responsibilities include designing data pipelines and integrating various clinical data systems. The ideal candidate must possess deep AWS knowledge and hands-on experience with SQL and Python, ensuring compliance in regulated environments.

Qualificações

• 5+ years as a Data Engineer with a focus on pharma or clinical trials.
• Hands-on experience with CTMS, EDC, and eTMF systems.
• Strong AWS background with familiarity in Glue, Airflow, Athena, and EMR.

Responsabilidades

• Design and maintain data pipelines for clinical trial data.
• Integrate data from CTMS, EDC, and eTMF systems.
• Support analytics and reporting in GxP environments.

Conhecimentos

Data Engineering

Clinical trials experience

AWS

SQL

Python

Collaboration with clinical operations

Ferramentas

AWS Glue

Databricks

Apache Airflow

SQL

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