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Sr. Reliability Data Engineer

Job in Fremont, Alameda County, California, 94537, USA
Listing for: Tesla Motors, Inc.
Full Time position
Listed on 2026-02-24
Job specializations:
  • Software Development
    Data Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 216000 USD Yearly USD 100000.00 216000.00 YEAR
Job Description & How to Apply Below

What to Expect

We are looking for a Reliability Data Engineer with experience in data pipelines, front end development and physical engineering disciplines (mechanical, electrical, materials) to tackle projects in modeling the reliability of our vehicle and autonomy technologies in the real-world. As a successful candidate, you will leverage your experience in data analytics, UI Development, to wrangle test and field data.

This role is highly engaging, and you will be working on many of our exciting products. You will create data pipelines and build interactive visualization tools to support cross-functional teams and drive key decisions.

What You'll Do
  • Enable Prognostics and Health management of the vehicles owned by Tesla
  • Access and rapidly execute analyses of large datasets through developing customized code and scripting in Python, SQL
  • Own the construction and management of data workflows and aggregations to support reporting on live data connections on Airflow and equivalents
  • Build dashboards on multiple platforms and other visualizations for effectively communicating analyses to cross-functional teams
  • Develop custom tools and UIs for automatic reporting by connecting and maintaining JIRA backend
  • Proactively improve and maintain projects based on feedback from the broader engineering team and integration with Data Science, Design, and Test organizations
  • Do in depth analysis to correlate behavior of the vehicle and stressors
What You'll Bring
  • Degree in Computer Science, Computer Engineering, or equivalent experience
  • 2+ years of experience working with data manipulation in Pandas and Pyspark, including deploying efficient queries in a distributed computing environment
  • Demonstrated proficiency with SQL and Python
  • Strong Data Pipelining experience (ETL, Airflow, Spark Data Analyses)
  • Strong UI experience on React, Node.js etc.
  • Experience in building interactive visualizations and dashboards using Matplotlib, Seaborn, Bokeh, Tableau, Power BI, or similar visualization tools
  • Basic understanding of statistics and mathematical models
  • Excellent teamwork/interpersonal skills with demonstrated ability to collaborate and communicate with multiple engineering disciplines
  • Ability to support multiple on-going projects in a fast-paced environment
Compensation and Benefits 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
Expected Compensation

$100,000 - $216,000/annual salary + cash and stock awards + benefits

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.

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