Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 441.000 - 663.000; Tempo integral

Resumo da oferta

A leading nearshore IT service provider is hiring a Senior Data Engineer specialized in clinical trials and pharmaceutical data environments. The role involves designing data pipelines, integrating systems like CTMS and EDC, and supporting analytics in regulated settings. Candidates should have over 5 years of experience in data engineering, must possess strong clinical trials and cloud skills, especially with AWS tools. This role offers a remote work arrangement with a focus on LATAM.

Qualificações

• 5+ years as a Data Engineer.
• Experience in pharmaceutical/clinical trials is mandatory.
• Strong cloud skills, particularly AWS.

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, biostatistics, and IT teams.

Conhecimentos

Data Engineering

Clinical trials experience

AWS

SQL

Python

Databricks

Spark

Ferramentas

CTMS

EDC

eTMF

AWS Glue

AWS Airflow

AWS Athena

AWS 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