Senior Software Engineer

AgileEngine; Argentina; Presencial; ARS 90.595.000 - 181.190.000; Jornada completa

Descripción de la vacante

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

You should have strong architecture skills and experience with data-intensive environments, performance optimization, and production reliability. This role offers remote-friendly options and exposure to cutting-edge AI workflows within a global

Formación

• 4+ years of software engineering or data engineering experience.
• Strong experience with Spark and distributed data processing.
• Experience with Amazon EMR or similar cloud-based data processing platforms.
• Proficiency in Java, Python, or related programming languages.
• Exposure to AI or machine learning workflows, model integration, or data preparation for intelligent systems.
• Strong understanding of scalable data architecture and performance optimization.
• Strong debugging and collaboration skills.
• Able to 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 processing

Java

Python

AI workflows

Herramientas

EMR

Kafka

Airflow

AWS

Descripción del empleo

We are looking for a Senior Software Engineer to design scalable data processing systems using Spark and EMR. This person builds batch and distributed pipelines, working closely with AI and product teams to operationalize model-enabled use cases and prepare data for intelligent workflows. Strong architecture sense and comfort in data-intensive environments matter here.

What you will do

• 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.

Must haves

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

Nice to haves

• Experience with Kafka, Airflow, data lakes, or warehouse ecosystems.
• Familiarity with MLOps, feature stores, or AI platform integration.
• Experience with AWS-native services and observability tooling.
• Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
• Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
• Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
• Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
• Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
• Well-being & support: access local well-being programs and people-focused support tailored to your location