Apache Spark Committer - Remote work | REF#297546

BairesDev; United States; À distance; USD 140 000 - 180 000; Plein temps

Avantages offerts par ce poste

Remote work from anywhere

Excellent compensation in USD or local

Hardware and software setup for home

Flexible hours

Paid parental leaves and holidays

Global, multicultural team

Résumé du poste

BairesDev is seeking an Apache Spark Committer to contribute to the upstream Spark codebase, focusing on query planners and the Catalyst optimizer. Expect collaboration with maintainers and a role that balances enterprise performance with Spark architecture.

The position emphasizes high-quality code, reviews, and mentoring within a globally distributed, fully remote team. English fluency is required for collaboration.

Qualifications

• 4+ years of experience in Software Engineering with a focus on systems programming or big data internals.
• Proven expertise in contributing to the Apache Spark codebase or other high-performance query engines.
• Advanced proficiency in Java or C++ and deep understanding of query engine internals like Spark Catalyst.
• Hands-on experience with columnar storage formats such as Parquet or Iceberg and execution engines.
• Strong background in designing query planners, optimizers, and vectorized execution paths.
• Advanced proficiency in English.

Responsabilités

• Contribute high-quality code to core Spark components, focusing on query planners and the Catalyst optimizer.
• Perform rigorous code reviews for community pull requests to ensure maintainability, documentation quality, and API stability.
• Design and implement advanced vectorized execution paths and columnar processing features to enhance engine throughput.
• Collaborate with the Apache Software Foundation and global maintainers to define the technical roadmap for Spark's distributed computing engine.
• Monitor project health by resolving critical bugs and identifying performance bottlenecks in large-scale data processing workflows.
• Mentor new contributors and participate in community governance, including voting on releases and major architectural proposals.

Connaissances

Java or C++

Big data internals

Query planner design

English proficiency

Outils

Parquet

Iceberg

Java

C++

Description du poste

At BairesDev® we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Apache Spark Committer at BairesDev

As an Apache Spark Committer, you will be a key contributor to the upstream Spark codebase, focusing on the evolution of high-performance query engine internals. You will act as a steward for the open-source community, balancing enterprise-grade performance requirements with the architectural integrity of the Spark ecosystem.

What You'll Do

• Contribute high-quality code to core Spark components, specifically focusing on query planners and the Catalyst optimizer.
• Perform rigorous code reviews for community pull requests to ensure maintainability, documentation quality, and API stability.
• Design and implement advanced vectorized execution paths and columnar processing features to enhance engine throughput.
• Collaborate with the Apache Software Foundation and global maintainers to define the technical roadmap for Spark's distributed computing engine.
• Monitor project health by resolving critical bugs and identifying performance bottlenecks in large-scale data processing workflows.
• Mentor new contributors and participate in community governance, including voting on releases and major architectural proposals.

What We Are Looking For

• 4+ years of experience in Software Engineering with a focus on systems programming or big data internals.
• Proven expertise in contributing to the Apache Spark codebase or other high-performance query engines.
• Advanced proficiency in Java or C++ and deep understanding of query engine internals like Spark Catalyst.
• Hands-on experience with columnar storage formats such as Parquet or Iceberg and execution engines.
• Strong background in designing query planners, optimizers, and vectorized execution paths.
• Advanced proficiency in English.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!