Databricks
Software Engineering Intern (2027 Start) - Winter
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
Opens the official application on the employer’s site. No login required.
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.
- Website
- databricks.com
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?