Manager, Data Engineering

Zoox

2600

Foster City, CA, United States

Posted on: 2025-01-29

Category: emobility

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Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

The Data team leverages data from our autonomous vehicles and operations to determine autonomy and service readiness. We provide the foundation for strategic decision-making at Zoox. You will develop and implement the next generation of our data pipeline to ensure visibility into our business as we scale toward the launch of an autonomous mobility service. You will define the system and build the pipeline to enable Zoox to develop and scale with a data-first culture.

You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to one of the most unique data sets in the autonomous vehicle industry. Hence, we are seeking all skill levels to grow with the team.

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $143,000 to $245,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

In this role, you will:

Own foundational data artifacts for the business domain

Mentor, coach and advocate for direct reports

Design and build pipelines and data models to support analytics for business domain

Contribute to design of data architecture and data governance for the entire data platform

Define and execute on how high value key data asset is consumed to generate valuable insights by data scientists, engineers, and business users

Establish robust data integrity and quality monitoring so that company-wide metrics are based on accurate data

Partner with engineering and product teams to define data consumption patterns and establish best practices

Qualifications

Experience managing and growing teams of 5+ members

Demonstrated ability to prioritize development work and build cross-functional alignment

Good experience designing scalable and maintainable data pipelines

Expert level SQL and Data Modeling skill, strong experience in data warehousing and distributed processing framework

Strong data operations mindset and opinions on next-generation warehouse tools

Bonus Qualifications

Experience with Scala

Experience with workflow orchestration like Airflow, large scale streaming platforms like Kafka

Familiarity with or exposure to experimentation platforms

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