20 publicaciones de empleo destacadas de remote software engineer en buenos aires, b (¡Están contratando!)

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Fullstack JavaScript Developer - Latin America - Remote
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MojoTech —Buenos Aires, Buenos Aires
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Percona —Buenos Aires, Buenos Aires
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Cloud DevOps Engineer - Latin America - Remote
Azumo —Buenos Aires, Buenos Aires
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The Ritz-Carlton Yacht Collection —Buenos Aires, Buenos Aires
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7d
Data Engineer - Latin America - Remote
Azumo —Buenos Aires, Buenos Aires
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Azumo —Buenos Aires, Buenos Aires
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Copy of Senior Python Developer (AI Evaluation & Benchmarking)
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Azumo —Buenos Aires, Buenos Aires
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Golang Backend Engineer - Latin America- Remote
Azumo —Buenos Aires, Buenos Aires
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Strategy & Consulting | AI Engineer - Autonomous Supply Chain
Accenture —Buenos Aires, Buenos Aires
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Software Engineer at a market-leading wind energy company
Shoreline —Buenos Aires, Buenos Aires
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Fullstack .Net Developer - Latin America - Remote
Azumo —Buenos Aires, Buenos Aires
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Curotec —Buenos Aires, Buenos Aires
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Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America - Remote

Azumo -
Buenos Aires, Buenos Aires

Postulación rápida

Detalles del empleo

Tiempo completo

Descripción completa del empleo

Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America.

This role will focus on building scalable, reliable, and governed data systems that power analytics, live operations, player insights, publishing intelligence, and business decision-making across gaming ecosystem.

The ideal candidate has strong hands-on experience with Databricks, DBT, AWS, scalable ETL pipelines, data governance, and modern analytics engineering practices.

Experience supporting gaming, telemetry, live operations, or high-scale analytics environments is strongly preferred.

Requirements

The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential.

Responsibilities:

Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS

Improve ingestion pipeline quality, reliability, scalability, and governance
Develop and optimize core data models and foundational data tables
Build analytics-ready datasets to support player insights, publishing analytics, esports analytics, and operational reporting
Implement data governance, data quality, lineage, and observability practices
Collaborate with product, analytics, engineering, and business stakeholders to support data-driven decision-making
Optimize large-scale data processing workflows for performance and cost efficiency
Support centralized player data models, viewer analytics, publishing activity systems, and operational metrics
Contribute to the unification of fragmented data ecosystems across multiple game teams and organizations
Build and maintain reliable orchestration workflows and scheduling systems
Participate in architectural discussions around scalability, governance, and data platform modernization

Required Skills:

Strong experience with Databricks

Strong SQL and Python programming experience
Experience building scalable ETL/ELT pipelines
Experience with AWS data ecosystem and cloud-native architectures
Experience with DBT, Apache Airflow or similar orchestration tools
Strong understanding of data modeling and analytics engineering
Experience working with large-scale structured and semi-structured datasets
Experience implementing data governance and data quality practices
Experience optimizing pipeline performance and scalability
Strong communication and collaboration skills
Ability to work independently within distributed engineering teams

Nice to Have:

Gaming industry experience
LiveOps or telemetry pipeline experience
Experience supporting analytics for player behavior, engagement, monetization, or publishing systems
Experience with real-time or streaming data systems
Experience with viewer analytics or esports data ecosystems
Experience with KPI reporting and operational dashboards
Familiarity with cost optimization and cloud infrastructure analytics
Experience working in fast-paced product engineering organizations

Basic Qualifications:

BS or Master’s degree in Computer Science, related degree, or equivalent experience
5+ years experience with data-related and data management responsibilities
Deep expertise in designing and building data warehouses and big data analytics systems
Practical experience manipulating, analyzing and visualizing data
Self-driven and motivated, with a strong work ethic and a passion for problem solving
Professional English proficiency (B2/C1)

Benefits

Company benefits include:

Paid Time Off
Mentored Career Development
U.S. Holidays
USD Remuneration
Profit Sharing
Maternity Coverage
100% Remote

About Azumo

Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions.

At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge.

If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at [email protected]

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Quiero recibir la alerta de empleo más reciente para remote software engineer en buenos aires, b

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