Senior Data Engineer: Spark, EMR & AI Workflows (Remote)

AgileEngine; Argentina; Presencial; ARS 1.800.000 - 3.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility—remote with flexible hours

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine is seeking a Senior Software Engineer to design scalable data processing systems using Spark and EMR. This role involves building batch and distributed pipelines and collaborating with AI and product teams to operationalize model-enabled use cases.

You will contribute to architecture discussions, ensure data quality, and optimize performance in evolving, data-heavy environments. Strong programming skills in Java or Python and an English proficiency of upper-intermediate are required.

Formación

• 4+ years of software or data engineering experience.
• Experience with Spark and distributed data processing.
• Proficiency in Java or Python.
• Exposure to AI or machine-learning workflows and data preparation for intelligent systems.

Responsabilidades

• Design 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 components for data transformation, feature preparation, and AI workflow integration.
• Optimize pipeline performance, cost efficiency, and reliability.
• Troubleshoot data and application issues across environments.
• Contribute to architecture discussions, documentation, and standards.
• Ensure solutions meet data quality, governance, and security expectations.

Conocimientos

4+ years experience

Spark & distributed processing

Java or Python

AI/ML data prep

Debugging & collaboration

Execution & architecture

Herramientas

Kafka

Airflow

AWS services

Descripción del empleo

AgileEngine is seeking a Senior Software Engineer to design scalable data processing systems using Spark and EMR. This role involves building batch and distributed pipelines and collaborating with AI and product teams to operationalize model-enabled use cases.

You will contribute to architecture discussions, ensure data quality, and optimize performance in evolving, data-heavy environments. Strong programming skills in Java or Python and an English proficiency of upper-intermediate are required.