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Databricks

Software Engineering Intern (2027 Start) - Winter

Bellevue, Washington; Mountain View, California; San Francisco, CaliforniainternshipinternAdded today

About this role

Databricks is hiring Software Engineering Interns for a Winter 2027 (January-April) cohort across Bellevue, Mountain View, and San Francisco offices. You'll build features for the Databricks data and AI platform across teams like backend, infrastructure, full stack, and cloud, with a dedicated mentor and collaborative support.

What you'll do

  • Build features for the Databricks platform across various engineering teams
  • Manage projects end-to-end from design through code review and implementation
  • Learn scalable platform development while maintaining quality and security standards
  • Collaborate with team members to solve ambiguous technical problems
  • Work with a mentor on guided development and growth during the internship

What they're looking for

  • Python, Java, or C++ proficiency
  • Algorithms and data structures knowledge
  • Object-oriented programming principles
  • Problem-solving and analytical thinking
  • Collaboration and communication in team settings
  • Software design and architecture fundamentals

Benefits

  • Hourly rate of $51.50–$60 USD depending on location
  • Mentorship from experienced engineers
  • Cohort experience connecting with other interns and company leaders
  • Exposure to enterprise-scale data and AI infrastructure
  • Potential eligibility for performance bonus and equity
Apply on the employer's site

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Databricks

Databricks builds a unified data and AI platform that combines database systems, distributed computing, and generative AI capabilities across multi-cloud infrastructure. The company is hiring software engineers, applied AI engineers, and web engineers to develop core database engines, ML/AI features, inference systems, and user-facing products.

View all jobs at Databricks

Likely interview questions

  • Walk us through a recent project where you designed and implemented a feature from scratch—how did you approach the design phase?
  • Tell us about a time you had to work through an ambiguous problem with a team. How did you collaborate to find a solution?