Senior Data Engineer: Spark/EMR AI Pipelines (Remote)

AgileEngine, LLC.; Santiago del Estero; Presencial; ARS 135.663.000 - 195.957.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

100% remote

Flexible hours

Competitive compensation

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine is seeking a Senior Software Engineer to design scalable data processing systems using Spark and EMR. You will build batch and distributed pipelines and collaborate with AI and product teams to operationalize model-enabled use cases.

You will optimize performance, ensure data quality and security, and contribute to architecture discussions while working with global teams. Remote-friendly role with flexible hours, growth opportunities, and a people-first culture.

Formación

• 4+ years of software or data engineering experience.
• Strong experience with Spark and distributed data processing.
• Experience with Amazon EMR or similar cloud-based platforms.
• Proficiency in Java or Python.

Responsabilidades

• Design and develop scalable data processing solutions using Spark and EMR.
• Build and maintain batch and distributed data pipelines.
• Collaborate with engineering, AI, and product teams to operationalize data-driven use cases.
• Develop software components for data transformation, feature preparation, and AI workflow integration.
• Optimize pipeline performance, cost efficiency, and production reliability.
• Troubleshoot data and application issues across development and production environments.
• Contribute to architecture discussions, documentation, and engineering standards.
• Ensure solutions align with data quality, governance, and security expectations.

Conocimientos

Spark

Distributed data processing

Java

Python

AI/ML workflows

Data architecture

Debugging

Collaboration

Herramientas

Amazon EMR

Descripción del empleo

AgileEngine is seeking a Senior Software Engineer to design scalable data processing systems using Spark and EMR. You will build batch and distributed pipelines and collaborate with AI and product teams to operationalize model-enabled use cases.

You will optimize performance, ensure data quality and security, and contribute to architecture discussions while working with global teams. Remote-friendly role with flexible hours, growth opportunities, and a people-first culture.