Databricks Data Engineer interview questions and process

Updated · 14 sources

Hiring Pulse: where Databricks candidates are right now

Dated status reports from public Reddit threads and anonymous PortLume reports, updated Oct 16. Not official Databricks data.

  • 1 status reports in the last 7 days
  • Not enough data yet: median from final interview to a decision shows at 5+ people
  • Latest movement: 1 rejection reported since Oct 11

Latest Databricks hiring reports

Candidates rate the Databricks Data Engineer interview Medium-Hard: Reported loops run long, with a hiring manager screen, a take-home, several deep Spark and Delta technical rounds, and leadership rounds, so depth on Spark internals matters more than puzzle-solving. Reports describe 8 rounds, from Recruiter call to Team matching.

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Databricks Data Engineer interview rounds

  1. Recruiter call: HR calls to schedule the loop, often after a referral. Expect a logistics-heavy conversation.
  2. Hiring manager round
  3. Take-home assignment
  4. Technical interview: Spark and optimization
  5. Technical interview: incremental processing scenarios
  6. Technical interview: Delta tables
  7. Leadership and behavioral rounds
  8. Team matching

Questions reported in Databricks Data Engineer interviews

  1. What should a Data Engineer do when a production pipeline fails at 2 AM?
  2. How would you optimize a slow Spark job? (typical for this role, not from a single report)
  3. How would you design an incremental load into a Delta table? (typical for this role, not from a single report)

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Databricks Data Engineer interview: quick answers

How many rounds are in the Databricks Data Engineer interview?

Public reports describe 8 rounds for the Databricks Data Engineer interview: (1) Recruiter call, (2) Hiring manager round, (3) Take-home assignment, (4) Technical interview: Spark and optimization, (5) Technical interview: incremental processing scenarios, (6) Technical interview: Delta tables, (7) Leadership and behavioral rounds, (8) Team matching.

Is the Databricks interview difficult?

Public reports put the Databricks Data Engineer interview at Medium-Hard difficulty. Reported loops run long, with a hiring manager screen, a take-home, several deep Spark and Delta technical rounds, and leadership rounds, so depth on Spark internals matters more than puzzle-solving.

Sources

Based on 14 public reports: YouTube (8), LeetCode Discuss (4), Blind (1), Reddit (1), last updated Oct 2026.

Compiled by Adarsh Sharma from public candidate reports. Unofficial guide: PortLume AI is not affiliated with Databricks.

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Last round at Databricks is usually HR: Databricks HR interview questions and answers.

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