Staff Spark Engineer: Scale Massive Data & Open Source

Cloudera; United States; On-site; USD 184,000 - 230,000; Full time

Job summary

Cloudera is seeking a Staff Software Engineer to architect and build next-generation distributed systems for the Apache Spark team. You will own features at massive scale, contribute to open-source Spark, and work with a globally distributed team across Data Engineering.

The role emphasizes deep expertise in distributed systems, JVM languages, and collaboration to deliver enterprise-grade data platforms. This position targets senior engineers ready to tackle big data challenges.

Qualifications

• 5-7+ years of professional software development experience.
• Proven leadership in technical initiatives and delivering complex product enhancements.
• Strong proficiency in Java or Scala and other JVM-based languages.
• Solid experience designing and developing distributed systems.
• Clear communication for collaboration across distributed teams.

Responsibilities

• Architect, implement, and deliver next‑generation features for Cloudera's Data Engineering Experience at massive scale.
• Contribute to Apache Spark and shape the future of distributed data processing.
• Develop high-performance features using Java, Scala, and Python on modern data platforms.
• Deepen expertise in core distributed data processing concepts and stack components.
• Collaborate with a distributed team to drive product vision and delivery.

Skills

Java

Scala

Distributed systems

Leadership

Communication

Autonomy

Job description

Cloudera is seeking a Staff Software Engineer to architect and build next-generation distributed systems for the Apache Spark team. You will own features at massive scale, contribute to open-source Spark, and work with a globally distributed team across Data Engineering.

The role emphasizes deep expertise in distributed systems, JVM languages, and collaboration to deliver enterprise-grade data platforms. This position targets senior engineers ready to tackle big data challenges.