Data Engineer, Field Reliability

The Field Reliability Data Team is seeking a skilled Data Engineer to enhance our handling of millions of repair records from service and vehicle fleet data. You'll support vehicle engineers in making data-driven decisions to boost vehicle quality by streamlining data organization, pipelines, and workflows for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who thrives on designing, optimizing, and scaling systems from the ground up. You'll be excited to refine our data architecture to accommodate our expanding fleet of vehicles, programs, and data initiatives.

• Design and maintain scalable data pipeline architecture, while advancing the automation and standardization of our ETL processes
• Identify, design, and implement process improvements: automating manual processes, optimizing queries, re-designing infrastructure for greater scalability
• Collaborate with stakeholders, including IT Business Intelligence team, to resolve data-related technical issues and support ETL infrastructure needs
• Develop data pipelines that enable analytics teams to build and refine KPI metric dashboards
• Build visualizations using tools like Tableau and Streamlit to communicate insights
• Build robust, flexible and automated software tools to complex fleet data analysis, enabling proactive monitoring of fleet behavior to improve field quality and customer experience

• Bachelor’s degree or higher in quantitative discipline (e.g. Computer Science, Statistics, Informatics, Information Systems, Data Analytics & Engineering), or equivalent experience with evidence of exceptional ability. 2+ years of work experience in data engineering related field
• Advanced SQL knowledge and hands-on experience working with relational databases, plus familiarity with various database engines
• Advanced knowledge of Python with Pandas
• Experience with quick web application development (e.g., Flask, Streamlit)
• Exposure to AI/ML frameworks (e.g., TensorFlow, PyTorch) and LLMs for text mining/NLP tasks (via libraries like Hugging Face Transformers or LangChain)
• Working knowledge of big data tools (Spark/PySpark, Presto, Kafka)
• Experience with data visualization techniques (e.g., Tableau, Matplotlib)
• Experience developing predictive models on time-series data
• Candidates with a GitHub profile or personal project portfolio in resume will be given priority in screening
• Strong collaboration skills, with excellent interpersonal and communication skills to work effectively with stakeholders

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.