Senior Data Engineer - Spark, EMR & AI Pipelines (Remote)

AgileEngine, LLC.; San Carlos de Bariloche; Presencial; ARS 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Remote work with flexible hours

Meaningful, modern projects

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine, LLC. seeks a Senior Software Engineer to design scalable data processing systems using Spark and EMR, building batch and distributed pipelines and collaborating with AI and product teams to operationalize model-enabled use cases.

You will translate data requirements into robust software components, optimize performance and cost, and contribute to architecture discussions while ensuring quality, governance, and secure data handling.

Formación

• 4+ years of software or data engineering experience.
• Strong experience with Spark and distributed data processing.
• Experience with Amazon EMR or similar cloud platforms.
• Proficiency in Java, Python, or related languages.
• Exposure to AI or ML workflows and data preparation.

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

Debugging

Collaboration

Architecture sense

Execution focus

Bridge software and data

Herramientas

Spark

EMR

Java

Python

Kafka

Airflow

AWS

Descripción del empleo

AgileEngine, LLC. seeks a Senior Software Engineer to design scalable data processing systems using Spark and EMR, building batch and distributed pipelines and collaborating with AI and product teams to operationalize model-enabled use cases.

You will translate data requirements into robust software components, optimize performance and cost, and contribute to architecture discussions while ensuring quality, governance, and secure data handling.