Role at a glance
- Job function
-
AI & Data Data Engineering
- Salary
- $213K – $263K/yr
- Location
- Mountain View, California, United States San Francisco, California, United States
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- 4+ years of professional backend software engineering experience
- Education
- BS/MS in Computer Science, Computer Engineering, or equivalent
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Role Summary
This role develops distributed backend services and data pipeline infrastructure for Waymo's Commercialization Data Lake. The work supports large-scale telemetry and RPC log processing, data access, compliance, privacy, security, and reliable platform operations.
What You'll Do
- Design, develop, and maintain high-throughput distributed backend components and services
- Own scalable ingestion of raw system telemetry and RPC logs into reliable daily canonical base tables
- Build and maintain Data Pipeline Services with standard templates and self-service gateways
- Implement compliance, privacy, and security infrastructure including GDPR wipeout, ACL management, BCID enforcement, and identity proxies
- Establish operational standards with regression tests, staging environments, and Canary/Progressive rollouts
- Collaborate with Data Engineers and Product Data Scientists on platform consistency, dependency tracing, and DAG architecture guidelines
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
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; understanding of data structures, algorithms, and software design principles; advanced proficiency in C++ and SQL; experience with hardened data pipeline release setups.
Required
- BS/MS in Computer Science, Computer Engineering, or equivalent
- 4+ years of professional backend software engineering experience focused heavily on distributed systems, databases, and production...
- Excellent understanding of data structures, algorithms, and fundamental software design principles
- Advanced proficiency in C++ and SQL applied to high-throughput batch and streaming processing pipelines
- Prior experience running data pipelines through hardened release setups (Canarying, Staging environments, Automated Rollbacks)
Preferred
- Extensive experience with distributed processing frameworks such as Spark, Flink, Beam, Hadoop, or Flume
- Experience in building and maintaining Data Warehouse / Data Lake systems
- Experience baking Data Governance, Privacy, or Compliance layers directly into core infrastructure
- High proficiency with Google-internal pipeline/data stacks such as Flume, SQLP, Rapid, CAS, or F1
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
This role follows a hybrid work schedule.
You will:
• 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.
You have:
• BS/MS in Computer Science, Computer Engineering, or equivalent.
• 4+ years of professional backend software engineering experience, focused heavily on distributed systems, databases, and production monitoring.
• Excellent understanding of data structures, algorithms, and fundamental software design principles.
• Advanced proficiency in C++ and SQL applied to high-throughput batch and streaming processing pipelines.
• Prior experience running data pipelines through hardened release setups (Canarying, Staging environments, Automated Rollbacks).
We prefer:
• 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).
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
About the company
Waymo
Large Enterprise
Waymo is a leading autonomous driving technology company, originally a part of Google's parent company Alphabet Inc. Established in 2009, Waymo focuses on developing self-driving cars and innovative transportation solutions designed to enhance mobility and safety on the roads. By employing advanced artificial intelligence and machine learning algorithms, the company aims to revolutionize personal and shared transportation, making it more accessible and efficient. Waymo's efforts contribute significantly to the future of autonomous vehicles and the ongoing shift towards smart transportation systems.
Waymo is a leading autonomous driving technology company, originally a part of Google's parent company Alphabet Inc. Established in 2009, Waymo focuses on developing self-driving cars and innovative transportation solutions designed to enhance mobility and safety on the roads. By employing advanced artificial intelligence and machine learning algorithms, the company aims to revolutionize personal and shared transportation, making it more accessible and efficient. Waymo's efforts contribute significantly to the future of autonomous vehicles and the ongoing shift towards smart transportation systems.