Senior Data Engineer — Spark & AI Pipelines, Remote

AgileEngine, LLC.

San Miguel de Tucumán

Presencial

ARS 1.800.000 - 3.200.000

Jornada completa

Hace 9 días
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Growth without limits
Competitive compensation
Flexibility: 100% remote with flexible
Meaningful, modern projects
Collaborative culture
Well-being & support

Descripción de la vacante

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

This role emphasizes strong architecture sense, data quality, governance, and security, with production reliability as a core goal. Remote-friendly, with growth opportunities and collaboration across global teams.

Formación

  • 4+ years of software or data engineering experience.
  • Strong Spark and distributed data processing experience.
  • Experience with Amazon EMR or similar cloud platforms.
  • Proficiency in Java, Python, or related programming languages.
  • Exposure to AI or machine learning workflows and model integration.
  • Strong understanding of scalable data architecture and performance optimization.
  • Strong debugging and collaboration skills.
  • Bridge software engineering and data engineering responsibilities.
  • Strong execution focus with practical architecture sense.

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 and model-enabled 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

Software engineering
Data engineering
Spark
Distributed data processing
Java
Python
AI workflows
Data architecture
Performance optimization
Debugging
Collaboration
Bridge eng & data

Herramientas

Amazon EMR
Kafka
Airflow

Descripción del empleo

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

This role emphasizes strong architecture sense, data quality, governance, and security, with production reliability as a core goal. Remote-friendly, with growth opportunities and collaboration across global teams.

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