Staff Software Engineer - Database Engine Internals

Databricks
Mountain View, San Francisco
Workplace: OnsiteFull time192,000 - 260,000 annuallyFunction: Software EngineeringExperience: 8+ yearsSkills: ["Problem-solving","Communication","Teamwork"]

Design and implement next-generation database engine internals for a decoupled query engine and storage system. Contribute to areas such as query compilation, distributed execution, vectorized execution, data security, and resource management to outperform traditional warehouses while supporting diverse workloads from ETL to data science.

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FursaFursa
Databricks
Databricks
3 years ago

Staff Software Engineer - Database Engine Internals

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design and implement next-generation database engine internals for a decoupled query engine and storage system. Contribute to areas such as query compilation, distributed execution, vectorized execution, data security, and resource management to outperform traditional warehouses while supporting diverse workloads from ETL to data science.
Location: Mountain View, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Query compilation and optimization.
  • •Distributed query execution and scheduling.
  • •Vectorized execution engine.
  • •Data security.
  • •Resource management.

Pay and Benefits

Salary: 192,000 - 260,000 annually

Key Requirements

  • •8+ years of experience in a related system (preferred).
  • •A passion for database systems, storage systems, distributed systems, language design, or performance optimization.
  • •Experience delivering on a multi-year vision with incremental deliverables.
  • •Motivated by delivering customer value and impact.
  • •Optional: PhD in databases or distributed systems
Experience:8+ yearsDatabasesDistributed systems
Skills:Problem-solvingCommunicationTeamwork
Languages:English
Tech Stack:SQLApache SparkDelta LakeMLflow

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn