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:
- 2+ years of professional experience in data engineering or a related field
- Proven track record of building complex data engineering projects 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.
Skills Required
- 2+ years of professional experience in data engineering or a related field
- Proven track record of building complex data engineering projects from conception to deployment
- Experience designing and implementing data warehousing or data lake solutions, such as Google BigQuery and Snowflake, and optimizing them for analytical queries and reporting
- Deep knowledge of relational and NoSQL databases
- Expertise designing and implementing scalable data models, data quality frameworks, and data governance practices
- Proficiency in SQL
- Familiarity with at least one of Python, C++, or Java
- Familiarity with distributed processing frameworks and tools such as Spark, Hadoop, or Kafka
- Understanding of data privacy, security, quality, correctness, and efficiency tradeoffs
- Experience driving collaboration across organizational boundaries and building stakeholder relationships
- Experience leading projects and collaborating with cross-functional teams
Waymo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Waymo and has not been reviewed or approved by Waymo.
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Fair & Transparent Compensation — Pay is considered strong for full‑time technical roles, aligning with top‑tier AV/Big Tech benchmarks. Employer materials also emphasize competitive pay with eligibility for bonuses and equity as part of total rewards.
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Healthcare Strength — Coverage spans medical, dental, vision, mental‑health resources, onsite wellness centers, and counseling, with specialized programs such as menopause and transgender medical advocacy. Dependents are included, indicating depth across core health needs.
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Parental & Family Support — Offerings include fertility and family‑forming assistance, parental and baby‑bonding leave, caregiver and elder‑care support, and backup childcare. These programs are positioned to support families through multiple life stages.
Waymo Insights
What We Do
Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives. Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.
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