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

Requirements

Must-haves

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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonjava

Platform: greenhouse
Effort: quick