2 дня назад
Staff Data Engineer Data Scientist Analysis Infra SWE
251 000 - 310 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Engineer Data Scientist Analysis Infra SWE (Data Engineering): Building data models, warehouses, and pipelines for Waymo commercialization tracking and optimization with an accent on scalable architecture, data quality, governance, and privacy. Focus on transforming raw data into analytical datasets, protecting PII through ACL controls, and solving complex reporting and stakeholder data needs.
Location: Onsite in Mountain View, California, United States
Salary: $251,000–$310,000 USD annually, plus eligibility for an annual bonus, equity incentive plan, and company benefits.
Company
Waymo develops autonomous driving technology and the Waymo Driver for fully autonomous ride-hail services and other vehicle platforms.
What you will do
- Translate business requirements into conceptual, logical, and physical data models.
- Define core data concepts for Waymo commercialization and implement them in databases.
- Design, build, and maintain data warehouses and data pipeline solutions.
- Transform raw data into datasets for commercialization reporting, insights, and optimization.
- Implement PII and ACL controls, data quality frameworks, and documentation.
- Collaborate with data producers and consumers across the organization to align data solutions with business needs.
Requirements
- 8+ years of professional experience in data engineering or a related field.
- Experience building complex data engineering architectures from conception through deployment.
- Experience designing and implementing data warehouses or data lakes with technologies such as Google BigQuery or Snowflake.
- Deep knowledge of relational and NoSQL databases.
- Expertise in scalable data modeling, data quality frameworks, and data governance.
- Proficiency in SQL and familiarity with Python, C++, or Java.
Nice to have
- Experience with Spark, Hadoop, Kafka, or other distributed processing frameworks.
- Understanding of data privacy, security, quality, correctness, and efficiency tradeoffs.
- Experience leading projects and collaborating across organizational boundaries and cross-functional teams.
Culture & Benefits
- Highly collaborative work with data producers and consumers across Waymo.
- Eligibility for a discretionary annual bonus program.
- Equity incentive plan, subject to eligibility requirements.
- Company benefits program, subject to eligibility requirements.
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