Manager, Data Engineering
Dave138,000 - 222,000 USD/year
- Full Time
- Senior (5 to 8 years)
$143,000 – $245,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Enterprise SoftwareIndustries
Requirements
Candidates should have experience managing and growing teams of 5 or more members. A demonstrated ability to prioritize development work and build cross-functional alignment is required. Good experience in designing scalable and maintainable data pipelines is essential, along with expert-level SQL and Data Modeling skills. Strong experience in data warehousing and distributed processing frameworks is necessary, along with a strong data operations mindset and opinions on next-generation warehouse tools. Bonus qualifications include experience with Scala, workflow orchestration tools like Airflow, large scale streaming platforms like Kafka, and familiarity with experimentation platforms.
Responsibilities
The Manager of Data Engineering will own foundational data artifacts for the business domain and mentor, coach, and advocate for direct reports. They will design and build pipelines and data models to support analytics for the business domain and contribute to the design of data architecture and data governance for the entire data platform. Additionally, they will define and execute on how high-value key data assets are consumed to generate valuable insights by data scientists, engineers, and business users. Establishing robust data integrity and quality monitoring is crucial so that company-wide metrics are based on accurate data. The role also involves partnering with engineering and product teams to define data consumption patterns and establish best practices.
Skills
SQL
Data Modeling
Data Warehousing
Distributed Processing
Scala
Airflow
Kafka
Zoox
Develops autonomous electric ride-hailing vehicles
About Zoox
Zoox focuses on creating a fully integrated autonomous ride-hailing service designed specifically for urban transportation. Unlike other companies that modify existing vehicles for self-driving capabilities, Zoox has engineered its own vehicle from the ground up, optimizing it for safety, efficiency, and passenger comfort. The vehicle features advanced sensors, cameras, and AI systems that allow it to navigate complex city environments. It can carry up to four passengers in a spacious interior, ensuring a pleasant ride experience. Safety is paramount, with rigorous testing and collaboration with regulatory bodies to meet high standards. Additionally, Zoox's vehicles are fully electric, promoting sustainability by reducing emissions. The company also develops a user-friendly ride-hailing platform that uses data analytics to improve routing and reduce wait times. Zoox aims to enhance urban mobility while prioritizing safety and environmental responsibility.
Key Metrics
Menlo Park, CaliforniaHeadquarters
2014Year Founded
$1,206.2MTotal Funding
ACQUISITIONCompany Stage
Automotive & Transportation, Energy, AI & Machine LearningIndustries
1,001-5,000Employees