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 seeking a Senior Data Engineer specialized in clinical trials and pharmaceutical data. The ideal candidate will have over 5 years of experience in data engineering, particularly in managing and integrating clinical trial data. Strong cloud skills, especially in AWS, are essential. This remote opportunity allows collaboration with clinical operations and IT teams, supporting analytics in highly regulated environments. Join us in driving innovative solutions in healthcare data management.

Qualificações

• 5+ years as a Data Engineer.
• Hands-on with CTMS, EDC, eTMF.
• Familiarity with CDISC/SDTM and regulated data standards.

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.
• Collaborating with clinical operations, biostatistics, and IT teams.

Conhecimentos

AWS

Python

SQL

Databricks / Spark

Clinical trials experience

Data Engineering

Ferramentas

CTMS

EDC

eTMF

Glue

Airflow

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