Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists; Teletrabalho; BRL 414.000 - 525.000; Tempo integral

Resumo da oferta

A leading nearshore technology firm is seeking a Senior Data Engineer with extensive clinical trials experience to design and maintain data pipelines. This remote position requires over 5 years of data engineering experience and hands-on knowledge of CTMS, EDC, and eTMF systems. The ideal candidate should be proficient in AWS technologies and familiar with regulated data standards in pharmaceutical environments. This role offers an opportunity to work on critical projects in the pharma industry.

Qualificações

• 5+ years of experience in data engineering, particularly in pharmaceutical data environments.
• Hands-on experience with CTMS, EDC, eTMF systems is essential.
• Familiarity with CDISC / SDTM and regulated data standards is important.

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

Data Engineering

Clinical Trials Experience

AWS (Glue, Airflow, Athena, EMR)

SQL

Python

Databricks / Spark

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