Data Engineer

The Manufacturing Quality team is seeking a Data Engineer to support quality engineering initiatives on site. You will enable vehicle engineers to make data-driven decisions that improve vehicle quality by designing data models, pipelines, and workflows for cross-functional teams. You will also develop full-stack applications and AI agents that automate defect analysis and root-cause investigation, allowing quality engineers to resolve issues faster and with stronger evidence. You will work directly with quality, process, and design engineers in a high-volume manufacturing environment. Success in this role requires a rigorous problem-solving approach and a strong quality and customer-focused mindset.

Design, build, and maintain scalable data pipeline architecture, and advance the automation and standardization of ETL/ELT processes Identify, design, and implement process improvements, including automation of manual workflows, query optimization, and infrastructure redesign for reliability and scale Design and develop full-stack web applications for defect analysis and investigation, including backend services, REST APIs, access control, and frontend interfaces Develop AI agents and retrieval systems that automate quality workflows and generate preliminary root-cause investigations for engineering review Evaluate agent performance for accuracy, groundedness, and appropriate handoff to engineering review Create visualizations, dashboards, and reports using Tableau, React, or Grafana to monitor key metrics and support decision-making Conduct end-to-end analyses, from requirements gathering through data processing, modeling, statistical analysis, and root-cause investigation of system and metric changes

Degree in Computer Science, Data Engineering, Data Science, Statistics, or an engineering discipline, or equivalent experience 2+ years of experience in data engineering, software engineering, or a related field  Proficiency in Python and SQL  Experience building and operating production ETL pipelines with Apache Airflow or an equivalent orchestration tool  Experience in full-stack application development, including backend services and frontend interfaces, preferably with React  Hands-on experience developing AI agents and retrieval-augmented generation (RAG) systems, including tool calling, orchestration, embeddings, vector stores, and evaluation of output quality  Experience building analytical dashboards using Streamlit, Grafana, Tableau, Power BI, or similar tools  Experience with Git, code review, and CI/CD  Experience with multiple data architecture paradigms (SQL, NoSQL, Kafka, Spark) and data communication protocols (REST, WebSocket)  Experience deploying and operating production services on Kubernetes

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)
- 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