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Staff Software Engineer - Distributed Data Systems

Databricks· Engineering
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San Francisco, CA$192k - $260kFull-timePosted 11mo ago

About the role

Software engineering role on the Runtime team at Databricks, building distributed data storage and processing systems to outperform traditional SQL engines while supporting diverse workloads from ETL to data science.

Responsibilities

  • Develop the next generation distributed data storage and processing systems.
  • Contribute to projects such as Apache Spark, Data Plane Storage, Delta Lake, Delta Pipelines, and Performance Engineering.
  • Deliver customer value and impact with multi-year vision and incremental deliverables.

Qualifications

  • BS in Computer Science, related technical field or equivalent practical experience.
  • Optional: MS or PhD in databases, distributed systems.
  • 8+ years of production level experience in Java, Scala or C++.
  • Strong foundation in algorithms and data structures and their real-world use cases.
  • Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop).

Skills

Required:Programming in Java/Scala/C++Distributed systemsAlgorithms and data structures

Benefits

  • Access to Databricks benefits per regional policy (link provided in job description).
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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