Senior Software Engineer - Distributed Data Systems
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 9/23/2026
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 build distributed data storage and processing systems for diverse workloads, including ETL and data science. You may develop Apache Spark, storage services and client libraries, Delta Lake, data pipelines, or query optimization and execution technology.
Requirements
- BS or higher in Computer Science, a related technical field, or equivalent practical experience
- Experience working toward a multi-year vision with incremental deliverables
- 5+ years of production-level experience in Java, Scala, or C++
- Foundation in algorithms and data structures
- Experience with distributed systems, databases, and big data systems including Apache Spark and Hadoop
Responsibilities
- Build distributed data storage and processing systems
- Develop data systems for ETL and data-science workloads
- Develop storage services and client libraries
- Build data-pipeline orchestration and operations capabilities
- Build query optimization and execution technology