
Mid
Google engineer building self-serve data pipelines and infrastructure for the Payments (Google Pay) data platform
This role sits on Google's Payments team, building and evolving the core data infrastructure — the 'Golden Data Pipeline' (GDP) — that underpins consumer payments products like Autofill, tap-to-pay, and Google Pay, focused on data reliability, scalability, and compliance for product and analyst teams. Minimum qualifications ask for 2 years of software development experience with large-scale data processing and distributed systems, putting this at a mid-level IC bar.
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Free · a live voice mock calibrated to this exact role
Likely format
Google's standard SWE loop: phone screen(s) with coding, followed by onsite rounds covering coding, system/data design, and Googleyness/leadership behavioral interviews, per Google's well-known public process.
What this interview tests
- Distributed data pipeline design and large-scale data processing
- Data reliability, scalability, and compliance in a payments context
- End-to-end ownership: scoping ambiguous problems into solutions
- Cross-functional collaboration with PMs, data scientists, analysts
- Identifying and resolving technical debt in existing systems
Common question themes
Design a self-serve data pipeline/platform for analysts and product teams
General coding/algorithms round in C++, Java, Python, or Go
How to ensure data reliability and compliance for sensitive (payments) data
A time you took a technical problem from ideation through to a delivered solution
Working with non-engineering stakeholders (PM, data scientist) to define data requirements
Googleyness/behavioral: navigating ambiguity, driving without authority
How candidates describe it
Real Software Engineer interview stories — retold from candidates' public write-ups, with sources.
Google · L3 Software EngineerOfferGoogle L3 software engineer interview: phone screen, four coding rounds, and the Googleyness round
A candidate with two years of experience went from recruiter outreach to offer over about four months. The onsite was four 45-minute coding rounds — three of them featuring binary trees — and one round turned into a 25-minute chain of follow-ups about approximating an optimal solution at scale.
Interviewed June 2020 · Bangalore, IN
Google · L4 Software EngineerNo offerGoogle L4 Software Engineer Interview: Eight Rounds, No Offer
An L4 Software Engineer candidate went through two phone screens, three onsite rounds, a culture conversation, and a team-matching call with a Google hiring manager, then watched the process stall for about a month and a half over a tightened experience requirement before an added extended round ended without an offer.
Interviewed February 2024 · Not specified
Google · L5 Software EngineerNo offerGoogle L5 software engineer interview: phone screening, three onsite rounds, system design, and a late rejection
A candidate interviewing for an L5 role went through a phone screening, three onsite coding rounds, a mobile system design round, and a Googleyness and Leadership round. Two of the four technical rounds went poorly by the candidate's own assessment, and after roughly two months of silence the recruiter reported that the role had been closed.
Interviewed January 2023 · Not specified
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