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Software Engineer - Database Engineering

Snowflake Inc.· Engineering
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US-CA-Menlo Park, US-WA-Bellevue$160k - $230kFull-timePosted 7mo ago

About the role

Software Engineer role focused on designing and building a petabyte-scale cloud database, with emphasis on performance, scalability, and novel query optimization within Snowflake's Data Cloud.

Responsibilities

  • Design, develop, and support a petabyte-scale cloud database that is highly parallel and fault-tolerant.
  • Build high-quality and highly reliable software to meet the needs of some of the largest companies on the planet.
  • Analyze and understand performance and scalability bottlenecks in the system and solve them.
  • Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions.
  • Design and implement novel query optimization or distributed data processing algorithms which allow Snowflake to provide industry leading data warehousing capabilities.
  • Design and implement the new service architecture required to enable the Snowflake Data Cloud
  • Develop tools for improving our customers' insights into their workloads.

Qualifications

  • 2+ years industry experience working on commercial or open-source software.
  • Fluency in Java or C++.
  • Familiarity with development in a Linux environment.
  • Excellent problem solving skills, and strong CS fundamentals including data structures, algorithms, and distributed systems.
  • Systems programming skills including multi-threading, concurrency, etc.
  • Experience with implementation testing, debugging and documentation.
  • Bachelor’s degree or foreign equivalent in Computer Science, Software Engineering or related field; Masters or PhD preferred.
  • Ability to work on-site in our Menlo Park / Bellevue / Berlin office.

Skills

Required:Java or C++LinuxProblem solving and CS fundamentals
Last updated Jul 30, 2026. Interested? Apply on the company site.

About Snowflake Inc.

The Data Platform Built for Data Teams.

Snowflake powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud—eliminating silos and accelerating innovation.

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