Job Summary:
Tesla is a leading electric vehicle and clean energy company, and they are seeking a Data Engineer for their Self-Driving Fleet Data team. This role involves designing and implementing data pipelines, defining metrics for Self-Driving performance, and creating real-time analytics to enhance the capabilities of Tesla's self-driving technology.
Responsibilities:
• Design and implement data pipelines from ingestion to visualization to unlock the full potential of Tesla’s fleet data by sourcing, transforming, and serving new datasets
• Define and build metrics that measure Self-Driving performance and specific driving events, then turn them into insights that drive decisions
• Monitor and maintain infrastructure health with robust alerting, logging, and automation for scale and reliability
• Build automation, developer tools, and internal libraries that accelerate analysis and visualization across the company
• Manage inflow rate of fleet data to ensure consumers have a high volume of diverse data
• Iterate with AI engineering partners on effectiveness of new datasets
• Deliver world class, interactive visualizations and tooling that turns complex data into actionable insights
Qualifications:
Required:
• Bachelor's Degree in Computer Science, Engineering, Physics, Math, proof of exceptional skills in related field, or equivalent experience
• Expert in Python and SQL with experience building data models, performant queries, and ETLs at scale
• Experience across the data lifecycle including sourcing, ingestion, transformation, analytics, and visualization
• Ability to own projects end-to-end from defining the right data to collect, building robust pipelines, to delivering actionable metrics and tooling
• Ability to thrive in a rapidly changing environment with high ambiguity; self-starter mentality
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.