Data Engineer

As part of Tesla’s Manufacturing Quality organization, this role focuses on building the data foundation that helps vehicle engineers make quality decisions with evidence. You will design and maintain scalable pipelines and workflows, then extend that capability through full-stack applications and AI agents that support defect analysis and root-cause investigations in a high-volume manufacturing setting.

What you’ll do

• Design, build, and maintain scalable data pipeline architecture, improving and standardizing ETL/ELT automation processes.
• Drive process improvements such as automating manual workflows, optimizing queries, and performing infrastructure redesigns to improve 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 to 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.
• Perform end-to-end analyses from requirements gathering through data processing, modeling, statistical analysis, and root-cause investigation for system and metric changes.

What you’ll bring

• A 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 development, including backend services and frontend interfaces, preferably with React.
• Hands-on experience developing AI agents and RAG (retrieval-augmented generation) 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 across multiple data architecture paradigms including SQL, NoSQL, Kafka, and Spark, plus communication protocols such as REST and WebSocket.
• Experience deploying and operating production services on Kubernetes.

Technology stack

• Python, SQL, Apache Airflow
• React, Tableau, Grafana, Streamlit, Power BI
• Git, CI/CD
• NoSQL, Kafka, Spark
• REST APIs, WebSocket
• Kubernetes, ETL/ELT, RAG, retrieval-augmented generation, embeddings, vector stores, tool calling

Benefits

• Medical plans with > plan options and $0 payroll deduction.
• Family-building, fertility, adoption and surrogacy benefits.
• Dental (including orthodontic coverage) and vision plans, both with options and $0 paycheck contribution.
• Company-paid 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: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance.
• Weight Loss and Tobacco Cessation Programs.
• Teslа Babies program.
• Commuter benefits.
• Employee discounts and perks program.

Location: Austin, TX (onsite). Minimum experience: 2 years.