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Data & AnalyticsNot provided by source

Senior Data Engineer

Waymo · Not provided by source

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Last seen by MeritLog September 9, 2026Source: GreenhouseSource version: greenhouse-job-board-v1

MeritLog read this listing from Waymo's Greenhouse job board and last checked it on September 9, 2026.

Source: the employer's Greenhouse job board. Open the original listing for current details.

Job details

Work model
Not provided by source
Salary
$251,000 – $310,000
Location
Mountain View, California, USA
Occupation
Database Architects(O*NET 15-1243.00)

Hiring context

How this role compares at Waymo

Waymo has 342 live roles in MeritLog’s catalog across 11 job families, and 143 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

  • 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.
  • 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
  • Familiarity with distributed processing frameworks and tools like Spark, Hadoop, or Kafka, handling massive datasets for real-time or batch analytics
  • Deep understanding of data privacy, security, quality, correctness, and efficiency tradeoffs
  • Proven track record of driving collaboration effectively across organizational boundaries, building multi-dimensional stakeholder relationships, and importing and exporting ideas to achieve broad organizational goals
  • Experience in leading projects and driving collaborating with cross-functional teams.

Parsed by MeritLog from the employer’s own posting. The full description follows below.

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. You will: • 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. You have: • 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 We prefer: • Familiarity with distributed processing frameworks and tools like Spark, Hadoop, or Kafka, handling massive datasets for real-time or batch analytics • Deep understanding of data privacy, security, quality, correctness, and efficiency tradeoffs • Proven track record of driving collaboration effectively across organizational boundaries, building multi-dimensional stakeholder relationships, and importing and exporting ideas to achieve broad organizational goals • Experience in leading projects and driving collaborating with cross-functional teams. 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. Salary Range $251,000-$310,000 USD

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