Sr. Data Engineer, Cell Quality & Field Reliability

Benefits

• 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

Location: Sparks, NV (onsite)

This role sits on Tesla's Cell Quality and Field Reliability team, focusing on designing and maintaining scalable data infrastructure, ETL pipelines, and automation tools to support cell testing, failure analysis, and data integrity.

Responsibilities

• Own the design, development, and optimization of scalable data infrastructure and ETL pipelines to process large-scale analytical data efficiently
• Build and maintain internal applications for data entry, analysis, and reporting, prioritizing user experience, performance, and adaptability
• Design and implement data validation, auditing, and state-tracking systems to ensure accuracy and reliability in cell testing processes
• Build CI/CD workflows, intelligent indexing systems, and automation tools that increase testing throughput and data accessibility
• Partner closely with technicians and engineers to translate complex testing requirements into intuitive, scalable technical solutions, and provide continuous user support

Requirements

• Bachelor's Degree in Computer Science, Data Engineering, relevant STEM disciplines, or equivalent expereince
• Proven experience designing and building tools with Python and SQL in large scale/production environments
• Strong proficiency in React, TypeScript, and modern JavaScript for building efficient and responsive user-facing tools
• Experience with Docker/Kubernetes for containerization and orchestration
• Exceptional organizational skills and outstanding written and verbal communication abilities, able to bridge technical and non-technical audiences to resolve issues and improve user experience
• Strong ownership mindset, meticulous attention to detail, and a genuine desire to deeply understand systems and processes

Technologies

• Python
• SQL
• React
• TypeScript
• JavaScript
• Docker
• Kubernetes