Senior Data Engineer
$251k - $310kFull-time
Waymo
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.
- 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.
Vacancy posted 9 days ago
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