Waymo

Waymo

Posted via Greenhouse

Senior Data Engineer

Posted Aug 21, 2026

Role at a glance

Salary
Not Disclosed
Location
Mountain View, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
Senior Level 6+ years of professional experience in data engineering or a related field

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Role Summary

AI-generated

The Senior Data Engineer builds data models, warehouses, and pipelines supporting Waymo’s commercialization tracking and optimization. The role works with data producers and consumers across Waymo to develop and align data solutions.

What You'll 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 warehouses and pipelines, bringing in and transforming raw data for reports and insights.
  • Ensure proper handling of PII and ACL, implement a data quality framework, and maintain documentation.
  • Work with data producers and consumers to understand data needs, provide consultation, and align data solutions.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

6+ years of professional experience in data engineering or a related field; track record building complex data engineering project architectures from conception to deployment; experience designing and implementing data warehousing or data lake solutions such as Google BigQuery and Snowflake, optimized for complex analytical queries and reporting; deep knowledge of relational and NoSQL databases; expertise in scalable data models, data quality frameworks, and data governance practices; proficient in SQL and familiar with at least one of Python, C++, or Java.

Preferred

  • Familiarity with distributed processing frameworks and tools such as Spark, Hadoop, or Kafka, handling massive datasets for real-time or...
  • Deep understanding of data privacy, security, quality, correctness, and efficiency tradeoffs.
  • Track record of driving collaboration across organizational boundaries, building multi-dimensional stakeholder relationships, and...
  • Experience leading projects and driving collaboration with cross-functional teams.

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.

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
Waymo

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.