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Staff Software Engineer - Distributed Data Systems

Databricks· Engineering
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Mountain View, CA$192k - $260kfull-timePosted 11mo ago

About the role

Software engineer on the Runtime team at Databricks, building next-generation distributed data storage and processing systems to outperform specialized SQL engines while supporting diverse workloads from ETL to data science.

Responsibilities

  • Develop the next generation distributed data storage and processing systems.
  • Work on projects such as Apache Spark, Data Plane Storage, Delta Lake, Delta Pipelines, Performance Engineering.
  • Contribute to building scalable, reliable, and secure data infrastructure that handles large-scale data workloads.

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:JavaScalaC++Distributed systems
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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