Interview Questions / Databricks

Databricks Interview Questions & Process

Backend Software Engineer, Distributed Systems Engineer, Data Infrastructure Engineer, and Machine Learning Systems Engineer

Updated July 2026

Databricks hires software engineers for its data and AI platform — Spark, Delta, ML infrastructure, distributed query and storage, and cloud services — and runs a demanding, implementation-heavy loop. Its signature is a full concurrency and multithreading round: where most companies wave at threading inside a coding round, Databricks gives it an entire hour.

The process runs a recruiter screen, a CoderPad technical phone screen, and a four-to-five-round virtual onsite — two algorithm/data-structure coding rounds (leaning, the concurrency round, a system design round, and a behavioural round — then team match, and can take up to eight weeks. System design is done in Google Docs (candidates consistently flag this as unusual) and skews toward Spark-adjacent, distributed-data problems like building a scalable data pipeline. Expect to reason about scale, failures, and production behaviour throughout.

The cost of walking in unprepared

Databricks's process runs 5 stages. Databricks hires software engineers for its data and AI platform — Spark, Delta, ML infrastructure, distributed query and storage, and cloud services — and runs a demanding, implementation-heavy loop.

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The Databricks interview process

  1. 1Apply to a specific platform. Apply to a specific platform, Spark, ML-infra, or cloud-services team.
  2. 2Recruiter screen. background, level, and motivation.
  3. 3Technical phone screen on CoderPad. algorithms and data structures.
  4. 4Virtual onsite, four to five rounds. two algorithm/DS coding rounds (leaning, a full concurrency and multithreading round, and a system design round (in Google Docs; distributed-data / data-pipeline focus).
  5. 5Behavioural/values round. Behavioural/values round, then team matching; the full loop can take up to eight weeks.

Real Databricks interview questions

As reported by recent candidates. The same styles Hope asks in a Databricks-style mock.

Solve a hard dynamic-programming problem and optimise the space complexity.
SWE — DP
Detect cycles in a large dependency graph and explain your approach.
SWE — Graphs
Implement a thread-safe bounded blocking queue with producers and consumers.
Concurrency
Design a rate limiter that stays correct under heavy multithreaded load.
Concurrency
Design a scalable data pipeline for ingesting and querying billions of events.
Systems — Design
Tell me about a production incident you diagnosed under pressure.
Behavioural

Prepping alone vs with Merra

Without Merra

  • Read questions, rehearse answers in your head
  • First time answering out loud is the real interview
  • No structured feedback on how you actually come across
  • Find out you weren’t ready from a rejection email

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  • Practise out loud before the real interview
  • Structured evaluation and feedback after every session
  • Review your session history and track improvement
  • Personalise practice by role, company, and focus areas

Pricing

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Databricks interview FAQs

Does Databricks use HireVue?

Databricks runs live CoderPad coding and onsite rounds (system design in Google Docs); its process doesn't describe a universal recorded-video HireVue stage.

How many rounds are there?

A recruiter screen, a CoderPad phone screen, and a four-to-five-round onsite (two coding, concurrency, system design, behavioural), then team match.

How hard is it?

Hard: coding leans

How long does it take?

Up to about eight weeks, depending on scheduling and team match.

Related interview guides

Merra is an independent interview practice platform and is not affiliated with Databricks. Interview formats vary by role, region, and year.

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