Data Engineer

Tesla's 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 Tesla's 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, REST/gRPC APIs, database fundamentals, CI/CD, and Kafka (preferred)
• Experience with Git or other source control
• Strong communication skills to translate engineering needs into data/software requirements
• Experience with manufacturing and quality tools is a plus
• Familiarity with Agentic AI, Computer Vision, or cloud infrastructure (e.g., AWS/GCP/Azure) is a strong plus

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)
• 401(k) 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

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.