Spark Developer

Remote Jobs; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Remote Jobs in the United States is seeking a Senior Software Engineer with deep expertise in Apache Spark to work on Spark internals, contribute to the open-source community, and build scalable data processing solutions aligned with platform requirements. You will tackle complex performance challenges and help shape the platform's data processing capabilities.

The role emphasizes upgrading Spark releases, optimizing internals for performance and reliability, and collaborating with product and

Qualifications

• Strong experience with Apache Spark internals and distributed systems.
• Hands-on experience contributing to open-source projects.
• Strong Java and/or Scala programming skills.
• Expertise in query execution, distributed processing, and performance optimization.
• Strong debugging and problem-solving abilities.
• Ability to work independently and drive technical initiatives.

Responsibilities

• Contribute fixes and enhancements to the Apache Spark open-source project.
• Upgrade and maintain compatibility with newer Spark releases.
• Optimize Spark internals for performance, scalability, and reliability.
• Design and develop distributed data processing solutions.
• Debug complex Spark-related performance and stability issues.
• Collaborate with product and platform teams on architecture and technical initiatives.

Skills

Apache Spark

Distributed systems

Java/Scala

Open-source

Performance optimization

Debugging

Independence

Job description

About the Role

We are looking for a Senior Software Engineer with strong expertise in Apache Spark and distributed systems. The role involves working on Spark internals, contributing to the Apache Spark open-source community, and building scalable data processing solutions aligned with the platform requirements.

Key Responsibilities

• Contribute fixes and enhancements to the Apache Spark open-source project.
• Upgrade and maintain compatibility with newer Spark releases.
• Optimize Spark internals for performance, scalability, and reliability.
• Design and develop distributed data processing solutions.
• Debug complex Spark-related performance and stability issues.
• Collaborate with product and platform teams on architecture and technical initiatives.

Required Skills

• Strong experience with Apache Spark internals and distributed systems.
• Hands‑on experience contributing to open‑source projects.
• Strong Java and/or Scala programming skills.
• Expertise in query execution, distributed processing, and performance optimization.
• Strong debugging and problem‑solving abilities.
• Ability to work independently and drive technical initiatives.

Good to Have

• Experience with Kubernetes and cloud‑native environments.
• Knowledge of JVM tuning and system optimization.
• Contributions to Apache or other open-source communities.
• Experience with large‑scale analytics or data platforms.