HHiring Reality
← Waymo

Data Infra Engineer

Waymo
Location
Mountain View, California, USA
Posted
18 days ago
Department
CSI (7LV)
What they actually want (must-haves)
  • BS/MS in Computer Science, Computer Engineering, or equivalent
  • 4+ years of professional backend software engineering experience focused on distributed systems, databases, and production monitoring
  • Excellent understanding of data structures, algorithms, and fundamental software design principles
  • Advanced proficiency in C++ and SQL for high-throughput batch and streaming processing pipelines
  • Prior experience running data pipelines through hardened release setups (Canarying, Staging environments, Automated Rollbacks)
Nice to have
  • Extensive experience with distributed processing frameworks (e.g., Spark, Flink, Beam, Hadoop, Flume)
  • Experience in building and maintaining Data Warehouse / Data Lake systems
  • Experience integrating Data Governance, Privacy, or Compliance layers into core infrastructure
  • High proficiency with Google-internal pipeline/data stacks (Flume, SQLP, Rapid, CAS, F1)
What the job really is

In this role, you will design, develop, and maintain high-throughput distributed backend components and services that support Waymo's Commercialization Data Lake. You will manage the ingestion of data from telemetry and logs, build data pipeline services, and implement compliance and security infrastructure. Collaboration with data engineers and product data scientists will be essential to ensure platform consistency and operational standards.

Benefits
  • Discretionary annual bonus program
  • Equity incentive plan
  • Generous Company benefits program
Things to weigh
  • Salary range provided but actual pay depends on various factors; specifics will be discussed during hiring process
  • Hybrid work schedule mentioned, but details on remote work flexibility are not specified
Job score3/5
Benefits2/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

Applying to Waymo?

See how your résumé matches this role — and tailor it from what actually gets interviews.