Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 386.000 - 553.000; Tempo integral

Resumo da oferta

A nearshore IT services company is seeking a Senior Data Engineer to support clinical trial data projects remotely. The ideal candidate will have 5+ years of experience as a Data Engineer and must possess strong knowledge in pharmaceutical data environments. Responsibilities include designing data pipelines, integrating systems, and collaborating with multidisciplinary teams. Proficiency in AWS and familiarity with clinical trial standards like CDISC are crucial for this role.

Qualificações

• 5+ years of experience as a Data Engineer.
• Hands-on experience in pharmaceutical and clinical trial data environments.
• Strong AWS skills with tools like Glue and Airflow.

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

Conhecimentos

Data Engineering

Clinical Trials Knowledge

AWS

SQL

Python

Ferramentas

Databricks

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