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 leading technology firm is seeking a Senior Data Engineer to support clinical trials and pharmaceutical projects. This remote position requires over 5 years of Data Engineering experience and proficiency in cloud technologies, particularly AWS. Candidates must have hands-on experience with clinical trial tools such as CTMS, EDC, and eTMF. You will be responsible for designing data pipelines, integrating various data systems, and ensuring compliance in regulated environments.

Qualificações

• 5+ years of Data Engineering experience required.
• Mandatory experience in pharma and clinical trials.
• Hands-on with CTMS, EDC, eTMF necessary.

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

Clinical Trials

AWS

SQL

Python

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