Data Engineer

Teslas Electronics Supplier Industrialization team needs a hands-on Engineer who can build at scale and maintain the supplier intelligence infrastructure that keeps our suppliers factories and field fleet running at optimal efficiency and quality.

You will work closely with suppliers contract manufacturers and project leadership to design deploy and maintain supplier intelligence architecture that enables real-time production performance monitoring-including Quality Capacity and Equipment performance.

You will collaborate to define specs and scopes for expansions into Agentic AI and Computer Vision while proactively discovering and provisioning internal resources like AI tools elastic cloud servers and platform teams to supercharge system improvements and feature development.

Your work will deliver high-quality reporting real-time operational insights and advanced analytics that directly boost manufacturing efficiency and product quality.

Expect a fast-paced highly collaborative environment where your contributions accelerate Teslas mission to transition the world to sustainable energy.

Design and maintain SIE database infrastructure to support large-scale manufacturing data storage and analytics workloads handling both numerical data and images

Set up and scale manufacturing data pipelines between Tesla and suppliers by pulling supplier data into the SIE database

Review and approve data schemas from suppliers to ensure standardization and quality

Develop hardware and software for edge computing installed in assembly equipment from automation suppliers

Build and maintain workflow orchestration pipelines using Airflow or similar tools

Implement data quality validation monitoring and alerting frameworks to ensure analytics reliability

Collaborate closely with project leadership to define and refine scope for Agentic AI e.g. autonomous agents and Computer Vision e.g. real-time detection expansions translating vision into actionable milestones requirements and integration paths

Proactively identify secure and integrate internal resources-such as AI tools cloud servers and their maintaining platform teams-to support defined scopes and drive system evolution

Degree in Computer Science Data Engineering Industrial Engineering Data specialization related quantitative discipline or equivalent experience

1-5 years of industry experience

Proficiency in SQL and Python stack e.g. FastAPI pandas Jupyter matplotlib NumPy SciPy

Experience building data pipelines RESTgRPC APIs database fundamentals CICD and Kafka preferred

Experience with Git or other source control

Strong communication skills to translate engineering needs into datasoftware requirements

Experience with manufacturing and quality tools is a plus

Familiarity with Agentic AI Computer Vision or cloud infrastructure e.g. AWSGCPAzure is a strong plus

Benefits

Along with competitive pay as a full-time Tesla employee you are eligible for the following benefits at day 1 of hire

Medical plans > plan options with 0 payroll deduction

Family-building fertility adoption and surrogacy benefits

Dental including orthodontic coverage and vision plans both have options with a 0 paycheck contribution

Company Paid Health Savings Accounts HSA Contribution when enrolled in the High-Deductible medical plan with HSA

Healthcare and Dependent Care Flexible Spending Accounts FSA

401k with employer match Employee Stock Purchase Plans and other financial benefits

Company paid Basic Life AD&D Short-term and long-term disability insurance 90 day waiting period

Employee Assistance Program

Sick and Vacation time Flex time for salary positions Accrued hours for Hourly positions and Paid Holidays

Back-up childcare and parenting support resources

Voluntary benefits to include critical illness hospital indemnity accident insurance theft & legal services and pet insurance

Weight Loss and Tobacco Cessation Programs

Tesla Babies program

Commuter benefits

Employee discounts and perks program

Expected Compensation

88000 - 162000annual salary cash and stock awards benefits

Pay offered may vary depending on multiple individualized factors including market location job-related knowledge skills and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.