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AI & dataProduct company

Databricks

Builds a data and AI platform based on the lakehouse model, from the original creators of Apache Spark.

Not known5 stage process documentedFounded 2013
Headquarters

San Francisco, California, United States

Headcount

5,000 and up

5,000 or more people
Work model

Not known

Hiring

Not known

Not enough signal to say. Check the careers page directly.
Where to apply

No careers page on file yet. Try their LinkedIn or the job boards below.

Website

Ask for a referral to Databricks

A referral only means something if the person giving it can actually speak to your work. I will refer you where I know someone on the inside and your profile genuinely fits the role, and I will tell you plainly when I cannot. Either way you get an answer, and a straight one.

  • I read every request. A reply takes a few days, sometimes longer.
  • I will not refer someone for a role their profile does not fit. It wastes your time and costs me the contact.
  • Where I cannot refer you, I will say why, and point you at the way in that does work.
  • Nothing you send here is shared with anyone without you agreeing to it first.

If you found the opening, paste it. It tells me which team you mean.

A Drive, Dropbox or personal-site link is fine. Make sure it opens without a request for access, or I cannot read it.

At least a short paragraph. This is what I would be putting my name behind, so specifics beat adjectives.

Comma separated, up to six. Things you would be happy to be tested on.

Open internships

How they hire

Databricks says the timeline is typically two to three months depending on role, region and team.

  1. 1

    Recruiter call

    Official
    Recruiter screenRemote

    An initial conversation about your background and interest.

  2. 2

    Pre-onsite screen

    Official +1
    Online testRemote

    May be a hiring manager screen or a technical assessment. Candidates report a 70 minute CodeSignal test with four questions of medium to hard difficulty.

  3. 3

    Onsite loop

    Official +1
    Panel interviewRemote

    Usually four to six interviews with team members, held virtually unless the recruiter says otherwise. Candidates report technical rounds on domain knowledge, a hiring manager round and a behavioural round.

  4. 4

    Reference checks

    Official
    Final HR round
  5. 5

    Decision and offer

    Official
    Offer

    Databricks aims to give feedback within 48 hours of the final interview.

What comes up

Recurring themes from candidate accounts, not a question bank. Nobody is served by leaked question lists, least of all you in the interview.

  • Hard algorithmic coding

    Reported

    The reported screen mixes medium and hard problems on graphs, strings and data structures.

  • Distributed systems and big data

    Reported

    Onsite technical rounds lean on the kind of work done day to day in data infrastructure.

Worth reading before you apply

From the Sefism resource library, matched to the rounds above.

Roadmap
Coding Interview Playbook

A structured learning path through coding interview preparation that brings together data structures and algorithms fundamentals, recursion and the pattern-based approach to coding questions in one order. It totals 77 chapters and 1,054 lessons, with quizzes, flashcards and a certificate. Use it when you have plenty of material but no clear plan for what to study first.

  • Job search
  • DSA
  • Career
Design Gurus · Interview Prep · 3 to 6 months
SubscriptionDetails
Roadmap
FAANG Coding Interview Roadmap

A bundle of five company-specific question courses covering the problems most often reported from Meta, Microsoft, Amazon, Google and Oracle coding rounds, each split into easy, medium and hard sets with worked solutions. It suits candidates who already know the core patterns and have a loop booked at one of these companies, and want to rehearse on the questions those interviewers are known to ask.

  • Job search
  • DSA
  • Career
Design Gurus · Interview Prep · 3 to 4 months · Advanced
SubscriptionDetails
Course
Grokking Tech Salary Negotiations

A practical course on negotiating compensation in tech, from preparing and building a strategy to specific tactics, the full package beyond base salary, handling multiple offers and asking for a raise. It has tailored sections for fresh graduates and experienced engineers. It suits anyone with an offer coming, and anyone who has ever accepted the first number out of discomfort.

  • Career
  • Job search
Design Gurus · Career Growth · 1 week
SubscriptionDetails
Tool
Resume Review

A paid, human review of your resume by experienced engineers and hiring managers from large technology companies, returned in three to five business days with line-by-line suggestions, proposed rewrites of bullet points and applicant tracking system advice. It suits engineers whose resume is already reasonably solid and who want detailed feedback from people who screen engineering resumes for a living before a job search.

  • Career
  • Job search
Design Gurus · Career Growth · Minutes
$279Details
Platform
Hacker101

Hacker101 is HackerOne's free web security training hub, combining video lessons with a hands-on capture-the-flag exercise, aimed at both programmers curious about bug bounty work and more experienced security professionals. It is entirely free with no account paywall, and pairs naturally with reading HackerOne's own vulnerability disclosure guidelines before attempting any real-world bug bounty programme. Bugcrowd runs a similarly free alternative, Bugcrowd University, worth knowing about even though this entry focuses on Hacker101.

  • Career
  • Job search
  • Testing
HackerOne · Other · Beginner
FreeDetails
Platform
ADPList

A mentorship platform where experienced professionals in engineering, design, product, data and marketing offer one-to-one online sessions. ADPList says it has more than 36,000 mentors and 400,000 members across 160+ countries. Getting started now includes one free session. It suits students and early-career engineers who have never had a mentor and want an outside view on a career decision, a portfolio or job search.

  • Career
  • Job search
ADPList · Mentorship · 30 to 45 minutes per session
FreeDetails
Browse the whole library

What it pays

Nothing collected for this company yet, and nothing worth guessing at. A made-up range is worse than no range because people negotiate against it.

Add to the Databricks page

This library is only as good as what people who have been through it are willing to share. Most of these companies have no hiring process documented anywhere, and one account of what the rounds actually were is worth more than anything I can research from the outside.

What are you adding?

This decides how the claim is labelled on the page. Only someone representing the company can produce an “official” label, and I check that separately.

Year and month.

Comma separated topics, not the questions themselves.

Round by round is ideal: what each one was, how long, remote or in person, and what it covered.

Credit

Anonymous is the default. If you keep it anonymous, nothing identifying you reaches the page: it is published as a candidate account and your name stays with me. Never send anything covered by an NDA, and never send a take-home or a question paper.

What they build on

Apache SparkScalaDelta Lake

Universities they recruit from

No sourced university links yet. A campus drive, a career fair appearance or an internship partnership is what puts a university here.

Add to the Databricks page

This library is only as good as what people who have been through it are willing to share. Most of these companies have no hiring process documented anywhere, and one account of what the rounds actually were is worth more than anything I can research from the outside.

What are you adding?

This decides how the claim is labelled on the page. Only someone representing the company can produce an “official” label, and I check that separately.

Year and month.

Comma separated topics, not the questions themselves.

Round by round is ideal: what each one was, how long, remote or in person, and what it covered.

Credit

Anonymous is the default. If you keep it anonymous, nothing identifying you reaches the page: it is published as a candidate account and your name stays with me. Never send anything covered by an NDA, and never send a take-home or a question paper.

Sources

Whole profile last checked 2026-09-22.

Interviewed at Databricks? Fill in what changed.

Processes change, rounds get added, tests get replaced. If what you went through was different from what is on this page, tell me and I will update it.

Want me to refer you here?

Send me the role, your CV and a few honest paragraphs on why you fit it. Where I know someone inside and your profile matches, I will make the introduction. Where I cannot, I will tell you why and point you at the route that does work. You get an answer either way.

Ask for a referral to Databricks

A referral only means something if the person giving it can actually speak to your work. I will refer you where I know someone on the inside and your profile genuinely fits the role, and I will tell you plainly when I cannot. Either way you get an answer, and a straight one.

  • I read every request. A reply takes a few days, sometimes longer.
  • I will not refer someone for a role their profile does not fit. It wastes your time and costs me the contact.
  • Where I cannot refer you, I will say why, and point you at the way in that does work.
  • Nothing you send here is shared with anyone without you agreeing to it first.

If you found the opening, paste it. It tells me which team you mean.

A Drive, Dropbox or personal-site link is fine. Make sure it opens without a request for access, or I cannot read it.

At least a short paragraph. This is what I would be putting my name behind, so specifics beat adjectives.

Comma separated, up to six. Things you would be happy to be tested on.

Add to the Databricks page

This library is only as good as what people who have been through it are willing to share. Most of these companies have no hiring process documented anywhere, and one account of what the rounds actually were is worth more than anything I can research from the outside.

What are you adding?

This decides how the claim is labelled on the page. Only someone representing the company can produce an “official” label, and I check that separately.

Year and month.

Comma separated topics, not the questions themselves.

Round by round is ideal: what each one was, how long, remote or in person, and what it covered.

Credit

Anonymous is the default. If you keep it anonymous, nothing identifying you reaches the page: it is published as a candidate account and your name stays with me. Never send anything covered by an NDA, and never send a take-home or a question paper.

Work with me

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