Databricks Data Platform Engineer — Build Scalable Pipelines

AgileEngine, LLC.; Ciudad de Mendoza; Presencial; ARS 91.394.000 - 167.555.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD compensation

Descripción de la vacante

AgileEngine, LLC. is seeking a Data Platform Engineer to design, build, and support scalable data pipelines on the Databricks platform.

You will architect and deliver high-quality code, diagnose production issues, and collaborate across teams to ensure reliable data flows. Ideal candidates have strong software development experience, Databricks expertise, and a background in cloud architectures, databases, and modern DevSecOps practices.

Formación

• 3 years of software development experience with modern software engineering practices.
• Experience with the Databricks platform—Unity Catalog, notebooks and pipelines.
• Administration of RDS Postgres and Aurora databases; SQL Server familiarity.

Responsabilidades

• Architect, design, and deliver high-quality code independently following best practices.
• Diagnose and fix production issues.
• Develop scalable, highly available data components and pipelines.
• Collaborate with leads to raise issues and plan around barriers.
• Contribute to distributed teams using Agile/Scrum and DevSecOps.

Conocimientos

Software development

Agile/Scrum

DevSecOps

Educación

Bachelor’s degree or equivalent experience

Herramientas

Databricks

Unity Catalog

RDS Postgres

Aurora databases

Microsoft SQL Server

AWS

Serverless

Event-Driven Architecture

CI/CD

Infrastructure as Code

Descripción del empleo

AgileEngine, LLC. is seeking a Data Platform Engineer to design, build, and support scalable data pipelines on the Databricks platform.

You will architect and deliver high-quality code, diagnose production issues, and collaborate across teams to ensure reliable data flows. Ideal candidates have strong software development experience, Databricks expertise, and a background in cloud architectures, databases, and modern DevSecOps practices.