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Tesla Data Science Jobs in California (NOW HIRING)

... a data science hat to analyze it, build dashboards, and deliver insights that drive decisions ... Free on-site EV charging (compatible with all EVs, including Tesla) At BillionToOne, we are proud ...

... Tesla. While we can't reveal too much just yet, our team is tackling cutting-edge engineering ... PhD in computer science, machine learning, computational neuroscience, or related fields (or ...

... Tesla. While we can't reveal too much just yet, our team is tackling cutting‑edge engineering ... PhD in computer science, machine learning, computational neuroscience, or related fields (or ...

Job Summary : Tesla is a leading electric vehicle manufacturer specializing in innovative ... The Manufacturing Quality Data Engineering team is looking for a Software Engineer, Backend to ...

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

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Showing results 1-20

Tesla Data Science information

See California salary details

$37K

$121.1K

$193.9K

How much do tesla data science jobs pay per year?

As of Aug 29, 2026, the average yearly pay for tesla data science in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What is the difference between Tesla Data Science vs Tesla Data Engineering?

AspectTesla Data ScienceTesla Data Engineering
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learning and analyticsDegree in Computer Science, Software Engineering, or related; experience with data pipelines and infrastructure
Work EnvironmentAnalyzing data, building models, interpreting resultsDeveloping and maintaining data infrastructure, ETL processes
Employer & Industry UsageUsed across Tesla for product insights, autonomous driving, energy solutionsSupports Tesla's data infrastructure, ensuring data availability and quality

Tesla Data Science focuses on analyzing data and building predictive models to inform decisions, while Tesla Data Engineering centers on creating and maintaining the data infrastructure that enables data collection and processing. Both roles are essential and often collaborate within Tesla's data ecosystem.

What job categories do people searching Tesla Data Science jobs in California look for?

The top searched job categories for Tesla Data Science jobs in California are:

Infographic showing various Tesla Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Sr. Backend Engineer, Data Platform, Vehicle Software

Tesla

Palo Alto, CA • On-site

Full-time

Re-posted 24 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 687 frontline employees who took The Breakroom Quiz

1st of 45 rated automakers


Job description

Job Summary:
Tesla is a leading company in electric vehicles and energy solutions, and they are seeking a Sr. Backend Engineer to join their data platform team. The role involves building and improving scalable distributed systems to process large volumes of IoT data and collaborating with various engineering teams to enhance product functionality.
Responsibilities:
• Build and improve industry-leading, scalable distributed systems
• Build back-end systems from scratch that are capable of handling 100s of trillions events per day
• Facilitate operation of highly-available distributed systems at scale and across multiple datacenters
• Help define a platform that is highly leveraged, multi-tenant, and self-serviced
• Work with Data Engineers and data scientists to drive efficient solutions from the platform
• Help define the data story and enable data-driven solutions at Tesla, both technically and culturally
Qualifications:
Required:
• 5+ years of Software Development Experience
• Expertise in any of Rust, Java, Scala, Python, or Go.
• Expertise with some core data technologies such as of Trino, Presto, Parquet, Hudi, Iceberg
• Strong programming fundamentals, particularly in data structures & concurrency
• Deep understanding of open-source distributed systems technologies such as Kafka, Spark, ElasticSearch, Kubernetes, etc.
• Experience with cloud infrastructure such as AWS
• Have built and optimized highly available, scalable, distributed back-end services capable of handling terabytes of data
Preferred:
• Rust is a plus
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.

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