What questions are asked in Uber Data Engineer interviews?

Recent candidates report role-specific technical depth, system design or case prompts, and behavioral STAR questions. "Optimize Spark job with data skew on a large join…" is among frequently reported topics.

Is domain-specific tech mandatory for Uber Data Engineer?

Strong fundamentals are required; stack depth signals vary by team. Panels often probe production scenarios even when the JD lists it as preferred.

How many rounds are there in Uber Data Engineer interviews?

Most loops include 3–5 rounds: recruiter screen, technical depth, system or domain panel, and behavioral/hiring-manager. Timelines often run 3–6 weeks.

How difficult is the Uber Data Engineer interview?

Difficulty is Medium–High. Candidates who practice real questions with AI mocks and follow-up chains outperform passive reading.

What SQL and data topics are asked at Uber?

Data-heavy tracks report warehousing, ETL, optimization, and modeling questions. Match prep to your specialization and recent candidate reports.

Back to Uber Data Engineer interview

Interview question

Optimize Spark job with data skew on a large join

Asked in Uber Data Engineer interviews

Asked by

60% candidates

Difficulty

Medium

Round

Technical Round

AI synthesized from candidate reports

Back to Questions

Question 1 of 5

Optimize Spark job with data skew on a large join

Medium57% Candidate ReportsTECHNICALUberData Engineer

Question

Optimize Spark job with data skew on a large join

High-Level Approach

Start with object lifecycle, then GC phases, then metrics you watch (heap, GC pause, allocation rate).