Autonomous Vehicle Data Systems Engineer

1 tydzień temu


Warszawa, Mazovia, Polska Waymo Pełny etat

About Us

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Waymo is an autonomous driving technology company with a mission to be the most trusted driver. Since its inception in 2009, we have 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.

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The Waymo Driver powers our fully autonomous ride-hailing service and can also be applied to various vehicle platforms and product use cases. With over one million rider-only trips under its belt, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

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Your Role

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  • You will help design the future of transportation by developing business-critical data systems to empower Waymo's ride-share fleet optimization.">
  • Translate requirements into conceptual, logical, and physical data models.">
  • Define core data concepts for Waymo commercialization and implement models in the database.">
  • Design and build data warehouse and pipeline solutions to bring in and transform raw data that can be easily used to generate reports and insights for Waymo's commercialization tracking and optimization.">
  • E nsure proper handling of PII, implement data quality framework, and maintain documentation.">
  • Collaborate closely with data producers and data consumers across DS, PM, eng roles in Waymo to understand the data needs, provide consultation, and align data solutions.">
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Your Qualifications

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  • Bachelor's degree in Computer Science or equivalent practical experience.">
  • 7+ 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 in designing and implementing scalable data models, data quality frameworks, and data governance practices.">
  • Proficient in SQL and familiar with C++.">
  • Familiarity with distributed processing frameworks and tools like Spark, Hadoop, or Kafka.">
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We Prefer

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  • Experience driving collaboration across organizational boundaries, building multi-dimensional stakeholder relationships, and importing and exporting ideas to achieve broad organizational goals.">
  • Experience with data privacy, security, quality, correctness, and efficiency tradeoffs.">
  • Team management experience.">


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