Senior Data Engineer – Clinical Trials (Pharma)

Sintesys North America - ServiceNow and NearShore Specialists; Teletrabalho; BRL 150.000 - 200.000; Tempo integral

Resumo da oferta

A tech company specializing in data solutions is hiring a Senior Data Engineer to work remotely in Brazil. The ideal candidate will have over 5 years of experience in data engineering, with specific expertise in clinical trials and pharmaceutical data environments. Responsibilities include designing data pipelines, integrating data from various systems, and supporting analytics in regulated environments. Strong AWS, SQL, and Python skills are a must. Join us to contribute to impactful projects in the pharmaceutical space.

Qualificações

• 5+ years of experience as a Data Engineer.
• Proven experience in pharmaceutical and clinical trials.
• Strong hands-on skills with AWS tools.

Responsabilidades

• Design data pipelines for clinical trial data.
• Integrate data from CTMS, EDC, and eTMF systems.
• Support analytics and reporting in regulated environments.
• Collaborate with various teams including clinical operations.

Conhecimentos

Data Engineering

Pharmaceutical data experience

AWS

SQL

Python

Databricks/Spark

Ferramentas

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