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 pharmaceutical data solutions company is seeking a Senior Data Engineer with a strong background in clinical trials and pharmaceutical data environments. This role involves designing data pipelines, integrating systems, and supporting analytics in regulated settings. Candidates should have over 5 years of relevant experience and strong AWS and data manipulation skills. This position is remote with a focus on nearshore collaboration in LATAM.

Qualificações

• 5+ years of experience as a Data Engineer in pharma or clinical trials.
• Strong familiarity with CTMS, EDC, eTMF systems.
• Hands-on experience with AWS tools and data standards.

Responsabilidades

• Designing and maintaining data pipelines for clinical trial data.
• Integrating data from various clinical systems.
• Supporting analytics and reporting in regulated environments.

Conhecimentos

Data Engineering

Cloud Skills (AWS)

SQL

Python

Databricks/Spark

Ferramentas

AWS Glue

Airflow

Athena

EMR

CTMS

EDC

eTMF

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