Senior Data Engineer: Spark & AI Pipelines, 100% Remote

AgileEngine; Rosario; Presencial; ARS 250.000 - 420.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth budget

Remote work

Competitive pay

Modern projects

Collaborative culture

Well-being programs

Descripción de la vacante

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

Ideal candidates bring 4+ years of software or data engineering experience, strong Spark expertise, and proficiency in Java or Python. This role offers 100% remote work with a focus on performance, governance, and secure data handling.

Formación

• 4+ years of software/data engineering experience.
• Strong Spark and distributed processing background.
• Experience with EMR or similar cloud platforms.
• Proficiency in Java or Python and data transformation skills.
• Exposure to AI workflows and model integration.

Responsabilidades

• Design scalable data processing solutions using Spark and EMR.
• Build and maintain batch and distributed data pipelines.
• Collaborate with AI and product teams to operationalize data-driven use cases.
• Develop components for data transformation and AI workflow integration.
• Optimize pipelines for performance, cost, and reliability.
• Troubleshoot data and application issues across environments.
• Contribute to architecture discussions and standards.
• Ensure data quality, governance, and security alignment.

Conocimientos

Spark

EMR

Java

Python

Data pipelines

Distributed systems

English—upper intermediate

AI workflows

Model integration

Herramientas

Kafka

Airflow

AWS

Descripción del empleo

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

Ideal candidates bring 4+ years of software or data engineering experience, strong Spark expertise, and proficiency in Java or Python. This role offers 100% remote work with a focus on performance, governance, and secure data handling.