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Autonomous Vehicles, Artificial Intelligence, Robotics, Automotive

Tech Lead Manager, Data Engineer

Mountain View, California, United StatesHybridFull TimeLead$251,000–$310,000 /yrPosted 24 days agoVisa sponsorship available

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Role summary

Waymo is seeking a Tech Lead Manager for Data Engineering to lead a team responsible for the Commercialization Data Lake and associated data pipelines. This hybrid role involves defining technical vision, overseeing design and development of data systems, and establishing best practices for data quality and governance. The ideal candidate will have 7+ years of data engineering experience and 2+ years of management experience, with strong technical leadership in large-scale data systems. Proficiency in SQL and a programming language like Python, Java, or C++ is required. Preferred experience includes data lakes, big data technologies, and domain knowledge in mobility or autonomous vehicles.

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.

    Salary Range
    $251,000$310,000 USD

    Sample Waymo interview questions

    • 1

      Design a data ingestion system

      system designmedium
    • 2

      Longest Substring with Two Distinct Characters Find the longest substring with at most two distinct characters. Input: s = "ccaabbb" Output: 5 Explanation: The substring "aabbb" contains exactly two distinct characters and has a maximum length of 5.

      codingmedium
    • 3

      Alien Dictionary Order Derive the alien dictionary order from a sorted list of alien words. Input: words = ["z","x","z"] Output: "" (Empty String) Explanation: The letter 'z' cannot come before 'x' and then suddenly after 'x', creating a cycle and making the dictionary invalid.

      codingmedium
    • 4

      Palindrome After Deleting One Character Determine if a string can be a palindrome after deleting at most one character. Input: s = "abc" Output: FALSE Explanation: Deleting any single character leaves either "ab", "bc", or "ac", none of which result in a valid palindrome.

      codingmedium

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