Senior Data Engineer – Clinical Trials (Pharma)

Sintesys North America - ServiceNow and NearShore Specialists; Taboão da Serra; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading data engineering firm is seeking a Senior Data Engineer to design and maintain data pipelines for clinical trial data. This position requires hands-on experience in clinical trials and pharmaceutical data environments, as well as strong skills in AWS, SQL, and Python. The role supports ongoing projects in a remote capacity, working closely with clinical operations and IT teams to ensure effective data integration and compliance in regulated environments.

Qualificações

• 5+ years as a Data Engineer.
• Experience in pharma / clinical trials is mandatory.
• Hands-on with CTMS, EDC, eTMF.

Responsabilidades

• 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.

Conhecimentos

Data Engineering

Clinical Trials

AWS

Python

SQL

Ferramentas

Databricks

Airflow

EMR

Glue

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