Data Infrastructure Engineer

• Design, develop, and maintain high-throughput distributed backend components and services (C++, Flume/Apache Spark/Flink/Beam) powering Waymo’s Commercialization Data Lake
• Own the scalable ingestion of data from raw system telemetry and RPC logs, processing petabytes of logs into reliable, daily canonical base tables
• Build, harden, and democratize Data Pipeline Services, offering standard templates and self-service gateways for downstream consumption
• Implement foundational compliance, privacy, and security infrastructure (e.g., GDPR wipeout, ACL management, BCID enforcement, and identity proxies)
• Establish rigorous operational standards, guarding pipelines with regression tests, staging environments, Canary/Progressive rollouts to defend high SLO
• Collaborate with Data Engineers and Product Data Scientists to set global platform consistency, dependency tracing, and linear DAG architecture guidelines

Benefits

• Medical, dental, and vision insurance for employees and dependents
• Employee assistance programs focused on mental health
• Personalized workplace adjustments for diverse needs and abilities, including physical, mental, and neurodivergent considerations
• Access to mental health apps
• Onsite wellness centers
• Support programs including menopause benefit
• Counseling services
• Medical advocacy program for transgender employees
• Second medical opinion for you and your loved ones
• Competitive compensation
• Regular bonus and equity performance grant opportunities
• Generous 401(k) and regional retirement plans
• 1-on-1 financial coaching
• Annual cross-company compensation review and pay equity analysis
• Fertility and growing family assistance
• Parental leave and baby bonding leave
• Backup childcare
• Elder care and support
• Survivor income benefit
• Caregiver leave
• Paid time off, including vacation, bereavement, sick leave, parental leave, disability, and holidays
• Jury duty leave
• Military leave
• Hybrid work model with remote work opportunities also available
• Educational reimbursement
• Peer learning and coaching platform
• Donation matching programs
• Employee resource groups
• Volunteer hours
• Internal community groups and local culture clubs
• Inspiring spaces to work, recharge, and collaborate with fellow Waymonauts
• On-site meals and snacks
• Fitness centers, massage programs, and ergonomic support
• On-demand fitness, wellbeing, and cooking classes
• Commuter benefits- Advanced proficiency in C++ and SQL applied to high-throughput batch and streaming processing pipelines
• Excellent understanding of data structures, algorithms, and fundamental software design principles
• BS/MS in Computer Science, Computer Engineering, or equivalent
• Prior experience running data pipelines through hardened release setups (Canarying, Staging environments, Automated Rollbacks)
• 4+ years of professional backend software engineering experience, focused heavily on distributed systems, databases, and production monitoring
• Extensive experience with distributed processing frameworks (e.g., Spark, Flink, Beam, Hadoop, Flume, or equivalent large-scale processing engines)
• Experience in building and maintaining Data Warehouse / Data Lake systems
• Experience baking Data Governance, Privacy, or Compliance layers (e.g., encryption, GDPR, RBAC/ACLs) directly into core infrastructure
• High proficiency with Google-internal pipeline/data stacks (Flume, SQLP, Rapid, CAS, F1)