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Internships and early careers at Databricks

Career-defining opportunities for students and new graduates

Internships and early careers
Tackle hard problems

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.

Build your career shaping the future of data and AI

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 candidates are undergraduate and graduate students pursuing degrees in computer science or related fields who have a fundamental understanding of deep learning and are proficient in software engineering using PyTorch.

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

In their own words

Former interns reflect on their journeys

How we interview

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.

Data science
Brush up on data science fundamentals and data science coding. We’re evaluating your coding skills as they relate to data processing and manipulation.

Product management
Brush up on product management fundamentals. We’re evaluating your product skills and leadership.

FAQ

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