Databricks is the data and AI company
With the Data Intelligence Platform, Databricks democratizes insights to everyone in an organization. Built on an open lakehouse architecture, the Data Intelligence Platform provides a unified foundation for all data and governance, combined with AI models tuned to an organization’s unique characteristics. Now, anyone in an organization can benefit from automation and natural language to discover and use data like experts, and technical teams can easily build and deploy secure data and AI apps and products.
With origins in academia and the open source community, Databricks was founded in 2013 by the original creators of the lakehouse architecture and open source projects Apache Spark™, Delta Lake, MLflow and Unity Catalog.
Build your career shaping the future of data and AI
The Databricks Data Intelligence Platform manages the end-to-end lifecycle of data and AI applications — from data processing, transformation and querying to training and deploying large AI applications.
Our ideal Intern and New Grad candidates are undergraduate and graduate students pursuing degrees in computer science or related fields.
What to expect:
- Mentorship: Work closely with leaders dedicated to your success
- Impact: Help the world’s leading companies solve real problems
- Influence: Contribute your ideas to our product roadmap
- Teamwork: Thrive in a supportive, collaborative environment
Tackle hard problems. Make an impact. From day 1.
There’s no better way to build your professional foundation than by solving hard problems in the real world. At Databricks, our interns and new graduates work on high-visibility projects that directly impact thousands of the world’s most innovative companies. This is the stuff you don’t learn in school. Once you become a Brickster, you play a pivotal role in making data and AI breakthroughs at the world’s largest companies.
How we interview
Your recruiter will be your best resource for answering your questions and advising you on what to expect. Keep in mind, our interview process and what we look for vary by role.
Here’s how you can prepare for interviews for our most common roles:
Software engineering
Brush up on data structures and algorithms. We’re evaluating code quality and cleanliness.
Product management
Brush up on product management fundamentals. We’re evaluating your product skills and leadership.