Role at a glance
- Salary
- $251K – $310K/yr
- Location
- Mountain View, California, United States
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- 7+ years of experience in data engineering, software engineering, or a related role
- Education
- BS/MS/PhD in Computer Science or a related field
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Role Summary
This role leads the data engineering team responsible for Waymo’s Commercialization Data Lake and associated data pipelines. The position sets the team’s technical direction and delivers scalable data systems that support commercialization data needs across Product Data Science, Engineering, and Operations.
What You'll Do
- Lead, mentor, and grow a team of data engineers.
- Define and drive the technical vision, strategy, and roadmap for the Data Engineering team.
- Oversee the design, development, and operation of scalable and reliable data pipelines, data stores, and data models.
- Establish and enforce best practices for data quality, governance, security, and performance optimization.
- Collaborate with Product Data Scientists, Engineering, and Operations teams to define data requirements and deliver data solutions.
- Foster a culture of engineering excellence, innovation, and continuous improvement.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
7+ years of experience in data engineering, software engineering, or a related role, including 2+ years managing and leading engineering teams. Strong understanding of data warehousing, data modeling, and ETL/ELT processes; expertise in SQL and proficiency in Python, Java, or C++.
Required
- BS/MS/PhD in Computer Science or a related field
- 7+ years of experience in data engineering, software engineering, or a related role, with a focus on large-scale data systems
- 2+ years of experience managing and leading engineering teams, including hiring, coaching, and performance management
- Technical leadership in designing, architecting, and delivering complex, large-scale data systems and pipelines
- Strong understanding of data warehousing concepts, data modeling, and ETL/ELT processes
- Expertise in SQL
- Proficiency in at least one programming language such as Python, Java, or C++
Preferred
- Experience building and scaling data lakes or large-scale data platforms
- Expertise with big data technologies and distributed systems, such as Spark, Flume, Kafka, or BigQuery
- Knowledge of data governance, data quality frameworks, and data security best practices
- Experience working in a fast-paced, product-driven environment
- Excellent communication and interpersonal skills
- Domain knowledge in ride-hailing, mobility, or autonomous vehicles
Original job description
Content provided by the employer
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.
This role follows a hybrid work schedule and reports to Sr. Staff TLM.
You will:
- Lead, mentor, and grow a team of data engineers responsible for the Waymo Commercialization Data Lake and associated data pipelines.
- Define and drive the technical vision, strategy, and roadmap for the Data Engineering team, aligning with Waymo's goals.
- Oversee the design, development, and operation of scalable and reliable data pipelines, data stores, and data models to ingest, process, and serve commercialization data.
- Establish and enforce best practices for data quality, governance, security, and performance optimization within the data ecosystem.
- Collaborate closely with Product Data Scientists, Engineering, and Operations teams to understand data needs, define requirements, and deliver robust data solutions.
- Foster a culture of engineering excellence, innovation, and continuous improvement within the team.
You have:
- BS/MS/PhD in Computer Science or a related field.
- 7+ years of experience in data engineering, software engineering, or a related role, with a focus on large-scale data systems.
- Proven experience (2+ years) in managing and leading engineering teams, including hiring, coaching, and performance management.
- Demonstrated technical leadership in designing, architecting, and delivering complex, large-scale data systems and pipelines, including setting technical direction, making key design trade-offs, and mentoring other engineers.
- Strong understanding of data warehousing concepts, data modeling, and ETL/ELT processes.
- Expertise in SQL and proficiency in at least one programming language such as Python, Java, or C++.
We prefer:
- Experience building and scaling data lakes or large-scale data platforms.
- Expertise with big data technologies and distributed systems (e.g., Spark, Flume, Kafka, BigQuery, etc.).
- Knowledge of data governance, data quality frameworks, and data security best practices.
- Experience working in a fast-paced, product-driven environment.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
- Domain knowledge in ride-hailing, mobility, or autonomous vehicles.
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.
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.
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.