Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - ServiceNow and NearShore Specialists; Teletrabalho; BRL 441.000 - 663.000; Tempo integral

Resumo da oferta

A leading tech consulting firm is hiring a Senior Data Engineer specializing in clinical trials and pharmaceutical data. This remote role requires at least 5 years of experience as a Data Engineer, along with hands-on knowledge of CTMS, EDC, and eTMF systems. Candidates should possess strong AWS skills and be familiar with Databricks, SQL, and Python. Join our dynamic team to support critical projects in a regulated environment.

Qualificações

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

Clinical Trials Experience

AWS (Glue, Airflow, Athena, EMR)

Databricks / Spark

SQL

Python

CDISC / SDTM Familiarity

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