Databricks Internships 2027: Programs, Pay and How to Apply

Databricks does run internships for 2027, but not as one big summer class with a single opening day. It posts roles season by season, and a real Software Engineering Intern (2027 Start) - Winter posting is live right now for Mountain View, San Francisco or Bellevue. If you were waiting for a single "internship program page" to go live, that's not how Databricks runs recruiting.

That rolling structure catches a lot of students off guard, since most large tech employers open one internship class a year around the same few weeks. Databricks instead opens individual postings for winter, summer and sometimes fall terms as teams need interns, which means the right move is checking back regularly rather than waiting for a single announcement.

What's actually posted for 2027 right now

Treat that table as a snapshot, not a promise. The safest habit is checking Databricks' own careers page and the live roles module below every few weeks rather than assuming a summer class will appear on any fixed date.

What the winter internship actually requires

The live posting is specific about logistics in a way a lot of internship listings aren't. It's a full-time, in-person role, 40 hours a week, for the full January through April term, with no remote option described. Applicants need current enrollment or a recent graduation date, have to disclose their GPA on a 4.0 scale, and need work authorization in whichever country they're applying from. Databricks also runs standard background checks and export-control screening as part of the process.

That combination, a full academic-semester commitment plus in-person requirement, rules out students who can't take a term off or relocate for four months. If that's not workable for you, watching for a summer posting instead, which typically runs shorter and lines up better with a normal school calendar, is the more realistic path.

What Databricks actually does

Databricks builds a unified data and AI platform on what it calls an open lakehouse architecture, covering data engineering, machine learning, SQL analytics and data governance in one system rather than a patchwork of separate tools. It was founded in 2013 by the original creators of Apache Spark, Delta Lake, MLflow and Unity Catalog, several of the most-used open source projects in data engineering, and it's headquartered in San Francisco. The company says a large share of the Fortune 500 uses its platform, with customers spanning industries from retail to media to manufacturing.

That matters for an internship because Databricks isn't a consumer app company. Interns work on infrastructure and tooling that other companies' data and engineering teams rely on directly, which tends to mean more emphasis on distributed systems, performance and reliability than on user-facing product work.

What background you need

Databricks' university recruiting page describes wanting students with solid software engineering fundamentals for its technical tracks, and specific postings, like the current AI research infrastructure-adjacent roles, have called out deep learning and PyTorch experience. Postings don't describe every track publicly, so a computer science or related technical major with real coding experience, through classes, personal projects or prior internships, is the safer baseline assumption than any single narrow skill list.

What a Databricks internship pays

Databricks hasn't published a standard company-wide intern pay rate, and the live winter posting doesn't list a range either. What's true generally is that software engineering internships at large, well-funded data and AI companies commonly pay well above a typical student wage, sometimes with relocation help for interns who move for an in-person role like this one. Don't assume a specific number going in. Ask during the interview process if it isn't listed on the posting itself.

How Databricks recruiting compares to a normal summer program

Most large tech companies run one clearly labeled summer internship cycle, open a single application window and fill the class within a few months. Databricks' rolling, season-by-season approach means there's no single date to circle on a calendar. The upside is that postings can appear at points in the year when most other companies have already closed their doors, which is worth checking even if you missed the usual summer application window elsewhere.

The downside is the same lack of a fixed calendar makes it easy to miss a posting entirely if you only check once. Set a recurring reminder to search Databricks specifically, rather than assuming you'll stumble across a new listing the way you might with a company that announces its internship class all at once.

How to apply

Databricks posts through Greenhouse, and the current winter application asks you to select a preferred office, confirm your availability for the full term and answer standard visa sponsorship and prior-employment questions. Given how specific this posting's requirements already are, tailor your resume to distributed systems, backend engineering or the specific team's stated focus rather than sending a generic software engineering resume. For the software engineering internship market more broadly, see our summer 2027 SWE internships guide, and for how Databricks compares to other data-heavy companies hiring interns, see our Snowflake internships 2027 guide.