Senior Software Engineer - Database Engine Internals

Databricks
San Francisco
Workplace: OnsiteFull timeUSD 166,000 - 225,000 annuallyFunction: Software EngineeringExperience: 5+ yearsSkills: ["Communication","Problem-solving"]

Design and implement next-generation database engine internals, focusing on query compilation/optimization, distributed execution, vectorized engines, data security, resource management, and transaction coordination to outperform traditional warehouses while leveraging Spark for diverse workloads.

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FursaFursa
Databricks
Databricks
5 years ago

Senior Software Engineer - Database Engine Internals

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Source: Company careers pageValidated by: Fursa AI
Last checked: 52 minutes agoStatus: Live

Job Summary

Design and implement next-generation database engine internals, focusing on query compilation/optimization, distributed execution, vectorized engines, data security, resource management, and transaction coordination to outperform traditional warehouses while leveraging Spark for diverse workloads.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Contribute to the design and implementation of next-generation query engine internals and storage systems.
  • •Work on query compilation/optimization and distributed query execution and scheduling.
  • •Develop and optimize vectorized execution engines and efficient data encodings/indexes.
  • •Collaborate on data security, resource management, and transaction coordination.
  • •Align engineering efforts with a multi-year vision while delivering incremental, customer-focused improvements.

Pay and Benefits

Salary: USD 166,000 - 225,000 annually

Key Requirements

  • •5+ years of experience working in a related system (preferred)
  • •A passion for database systems, storage systems, distributed systems, language design, or performance optimization
  • •Experience working towards a multi-year vision with incremental deliverables
  • •Motivated by delivering customer value and impact
  • •Optional: PhD in databases or distributed systems
Experience:5+ yearsDatabasesDistributed systemsData warehousing
Skills:CommunicationProblem-solving
Languages:English
Tech Stack:SparkDelta LakeMLflowSQL

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