Staff Software Engineer Database Engine Internals
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Maintainer signals as of 9/24/2026
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design and implement next-generation query-engine and structured-storage systems. Your work may cover query compilation and optimization, distributed query execution and scheduling, vectorized execution, data security, resource management, transaction coordination, storage structures, and automatic physical data optimization.
Requirements
- Experience with database systems, storage systems, distributed systems, language design, or performance optimization
- Experience working toward a multi-year vision with incremental deliverables
- 8+ years of experience working in a related system preferred
- PhD in databases or distributed systems is optional
Responsibilities
- Design and implement next-generation query-engine and structured-storage systems
- Develop query compilation and optimization capabilities
- Develop distributed query execution and scheduling
- Build vectorized execution engines
- Implement data security, resource management, and transaction coordination
- Develop efficient storage structures, including encodings and indexes
- Implement automatic physical data optimization
Benefits
- Annual performance bonus eligibility
- Equity eligibility