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 leading tech consulting firm is seeking a Senior Data Engineer with expertise in clinical trials and pharmaceutical data. This remote position requires 5+ years of data engineering experience and strong skills in AWS, SQL, and Python. The successful candidate will design and maintain data pipelines for clinical trial data, integrate systems, and support analytics in regulated environments. Join us to contribute to impactful projects in the pharma sector.

Qualificações

• 5+ years as a Data Engineer required.
• Must have experience in pharma and clinical trials.
• Hands-on 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.

Conhecimentos

Data Engineering

Pharma/Clinical Trials

AWS (Glue, Airflow, Athena, EMR)

SQL

Python

Databricks/Spark

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