Updated · 14 sources
Dated status reports from public Reddit threads and anonymous PortLume reports, updated Oct 18. Not official Google data.
Candidates rate the Google Data Engineer interview Medium-Hard: Reported loops combine SQL (self joins, recursive CTEs), DSA-style coding, DE domain reasoning and system design, with a 5-round onsite plus Hiring Committee review. Reports describe 9 rounds, from Recruiter Screen to Team Matching, with about 6-12 weeks (reported end-to-end flow); one guide cites ~8 weeks across 9 rounds from first call to offer.
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Public reports describe 9 rounds for the Google Data Engineer interview: (1) Recruiter Screen, (2) Phone Screen, (3) Onsite: SQL, (4) Onsite: Coding/DSA, (5) Onsite: Data Engineering Domain, (6) Onsite: System Design, (7) Onsite: Googleyness/Behavioral, (8) Hiring Committee Review, (9) Team Matching.
Public reports put the Google Data Engineer interview at Medium-Hard difficulty. Reported loops combine SQL (self joins, recursive CTEs), DSA-style coding, DE domain reasoning and system design, with a 5-round onsite plus Hiring Committee review. The process has 9 rounds, from Recruiter Screen to Team Matching.
Yes. Rounds that involve coding: Phone Screen (SQL + light coding), Onsite: Coding/DSA. Reported coding questions include "Coding: longest substring with at most two distinct characters". SQL-heavy with recursive CTEs and self joins, plus DSA coding and a discussion-style DE domain round, ending in Googleyness and Hiring Committee review.
Time to a result for the Google Data Engineer process, per public reports: 6-12 weeks (reported end-to-end flow); one guide cites ~8 weeks across 9 rounds. The process has 9 rounds, from Recruiter Screen to Team Matching. Based on 14 public reports, last updated Sep 2026.
Based on 14 public reports: YouTube (8), LeetCode Discuss (6), last updated Sep 2026.
Compiled by Adarsh Sharma from public candidate reports. Unofficial guide: PortLume AI is not affiliated with Google.
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