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 leading tech firm is looking for a Senior Data Engineer to support clinical trials projects. This remote position requires hands-on experience in designing data pipelines, with a strong focus on pharmaceutical data. Candidates must have 5+ years as a Data Engineer, specifically in pharma/clinical trial environments, and strong AWS skills. This is a critical role with responsibilities that include integrating data from various systems and supporting analytics in regulated environments.

Qualificações

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

Responsabilidades

• Design and maintain data pipelines for clinical trial data.
• Integrate data from CTMS, EDC, and eTMF systems.
• Support analytics and reporting in regulated (GxP) environments.
• Collaborate with clinical operations, biostatistics, and IT teams.

Conhecimentos

Data pipeline design

Clinical trial experience

AWS (Glue, Airflow, Athena, EMR)

Databricks / Spark

SQL

Python

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