Senior Software Engineer - Distributed Data Systems
Databricks· Engineering
San Francisco, CA$166k - $225kfull-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.
- Contribute to projects including Apache Spark, Data Plane Storage, Delta Lake, Delta Pipelines, and Performance Engineering.
- Work towards a multi-year vision with incremental deliverables.
- Deliver customer value and impact.
Qualifications
- BS (or higher) in Computer Science, related technical field or equivalent practical experience.
- 5+ 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.
AIanalyticsbig datadatadata warehousingenterprise-infrastructuregovernanceliquid-ai-recruiting-target
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