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 specialized technology company is seeking a Senior Data Engineer to join their team focusing on clinical trials data. The ideal candidate will have over 5 years of experience in data engineering, primarily within pharmaceutical environments. Key responsibilities include designing data pipelines, integrating clinical data systems, and ensuring compliance in regulated settings. Strong AWS skills are also required to support various projects in this remote role.

Qualificações

• 5+ years as a Data Engineer with a focus on clinical trials.
• In-depth understanding of pharmaceutical data environments.
• Strong knowledge of AWS services relevant to data engineering.

Responsabilidades

• Design data pipelines for clinical trial data handling.
• Integrate various systems (CTMS, EDC, eTMF).
• Support analytics in regulated environments.

Conhecimentos

Data Engineering

Clinical Trials Experience

AWS Glue

AWS Airflow

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