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.
Step into this interview
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
Related interviews
Senior
Software Engineer, Serverless Networking, Infrastructure
Staff
Staff Software Engineer, Mobile (Android), YouTube
Associate
Software Engineer
Affirm
Mid
Software Engineer II (Money Movement & Card Ledger)
Affirm
Mid
Software Engineer II, Back-end (Card Mgmt & Transaction Processing)
Amazon
Mid