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# Data Engineer, Fleet Data, Self-Driving

- **Company:** Tesla Motors
- **Location:** Palo Alto, CA, United States
- **Salary:** $140,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, Build Automation, Information Engineering, Extract Transform Load (ETL), Programming Tools, Python (Programming Language), SQL Databases, Data Logging, Model Validation, Pyspark, Information Technology, Vertica, Data Pipelines
- **Published:** August 8, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/87981103/1

## About the Role

* 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(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

## Description

Help power the future of Full Self-Driving by unlocking the immense potential of data from millions of Tesla vehicles worldwide.

On the Self-Driving Fleet Data team,you'llwork at theintersectionof 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 hastangibleimpact on making scalable autonomy a reality.
What You'll Do

 * 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 andmaintaininfrastructure health with robust alerting, logging, and automation for scale and reliability

 * Build automation, developer tools, internal libraries, and agentic toolsthat 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


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