Tesla

Makes electric cars, robotaxis and grid batteries

Data Engineer - Fleet Data, Self-Driving

Data EngineeringUpdated on Nov 11

Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

A bachelor's degree in Computer Science, Engineering, Physics, or Math, proof of exceptional skills in a related field, or equivalent experience.
Proficiency in Python and SQL, with experience building data models, performant queries, and ETLs at scale, such as PostgreSQL, ClickHouse, PySpark, or Dagster.
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 and building robust pipelines to delivering actionable metrics and tooling.

Responsibilities

Design and maintain data platforms that enable teams across the organization to discover, query, and explore fleet data.
Design and implement data pipelines from ingestion to visualization, 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, internal libraries, and agentic tools that accelerate analysis and visualization across the company.
Manage the inflow rate of fleet data to ensure consumers have a high volume of diverse data.
Iterate with Super Intelligence engineering partners on the effectiveness of new datasets.
Deliver interactive visualizations and tooling that turn complex data into actionable insights.

Desired Qualifications

Passion for the future of transportation and AI technologies.

Category	Tesla SI
Location	Palo Alto, California
Requisition ID	279540
Type	Full-time

Job Description

<p>Help power the future of Full Self-Driving by unlocking the immense potential of data from millions of Tesla vehicles worldwide. </p><p>On the Self-Driving Fleet Data team, you’ll work at the intersection of data engineering, analytics, and data science: building reliable pipelines and critical infrastructure for FSD model evaluation and improvements. This role owns critical data pipelines that feed landmark projects like the Full Self-Driving Vehicle Safety Report and surfaces the most valuable real-world scenarios from the fleet for training and evaluation. It builds the data foundation for setting priorities, measuring progress, and curating diverse datasets, work that has tangible impact on making scalable autonomy a reality. </p>

Job Responsibilities

Design and maintain data platforms that make it easy for teams across the org to discover, query, and explore fleet data

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, internal libraries, and agentic tools 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 SI (Super Intelligence) engineering partners on effectiveness of new datasets

Deliver world class, interactive visualizations and tooling that turns complex data into actionable insights

Job Requirements

Bachelor's Degree in Computer Science, Engineering, Physics, Math, proof of exceptional skills in related field, or equivalent experience

Proficient in Python and SQL with experience building data models, performant queries, and ETLs at scale (e.g. PostgreSQL, Clickhouse, Pyspark, Dagster)

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

Passion for the future of transportation and AI technologies

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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