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Waymo

Robot type
Autonomous Vehicle
Location
Mountain ViewCaliforniaUSA
Job type
Software
Posted
Dec 9, 2025
Salary
$251,000–$310,000 a year
Full-time

Senior Data Engineer

Job description

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.

Job responsibilities

  • Translate business requirements into conceptual, logical, and physical data models.
  • Define core data concepts for Waymo commercialization and implement models in the database.
  • Design, build, and maintain data warehouse and pipeline solutions. Bring in and transform raw data that can be easily used to generate reports and insights for Waymo’s commercialization tracking and optimization.
  • Ensure proper handling of PII and ACL. Implement a data quality framework, and maintain documentation.
  • Be highly collaborative and work closely with data producers and data consumers across Waymo to understand the data needs, provide consultation, and align data solutions.

Job requirements

  • 6+ years of professional experience in data engineering or a related field
  • Proven track record of building complex data engineering projects architectures from conception to deployment
  • Experiences of designing and implementing data warehousing or data lake solutions like Google BigQuery and Snowflake, optimizing them for complex analytical queries and reporting
  • Deep knowledge of relational and NoSQL databases
  • Expertise in designing and implementing scalable data models, data quality frameworks, and data governance practices
  • Proficient in SQL. Familiar with at least one of languages in Python, C++, or Java

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