Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading nearshore technology company is seeking a Senior Data Engineer specialized in clinical trials and pharmaceutical data environments. This role involves designing and maintaining data pipelines, integrating various data systems, and collaborating with stakeholders in regulated environments. Candidates must have over 5 years of experience as a Data Engineer with strong skills in AWS, SQL, and Python. This position offers a remote work model based in Brazil, São Paulo.

Qualificações

• 5+ years as a Data Engineer.
• Experience in pharma / clinical trials is mandatory.
• Hands-on with CTMS, EDC, eTMF systems.
• Strong experience with AWS services.

Responsabilidades

• Designing and maintaining data pipelines for clinical trial data.
• Integrating data from CTMS, EDC, and eTMF systems.
• Supporting analytics and reporting in GxP environments.
• Collaborating with clinical operations and biostatistics teams.

Conhecimentos

Data Engineering

Cloud Computing

Pharmaceutical Data

SQL

Python

AWS

Ferramentas

Databricks

Airflow

Glue

Athena

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