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职位Tesla

Refurbishment Technician (Night Shift)

Tesla

Refurbishment Technician (Night Shift)

Tesla

Elk Grove Village, Illinois

·

On-site

·

Full-time

·

Today

What to Expect

Tesla is looking for Refurbishment Technicians to work on one of the most progressive vehicle brands in the world. If you are interested in becoming a part of the world class collision team supporting the latest EV technology, we are interested in hearing from you.

What You'll Do

  • Inspect, refurbish, and prepare Tesla used cars for retail or wholesale teams   
  • Perform mechanical, electrical, trim, collision, paint, and detail operations   
  • Operate a variety of hand, power, and shop tools   
  • Perform equipment inspections, adjustments, and certifications   
  • May order shop supplies and parts   
  • Maintain records of time and materials   
  • Perform other related duties as assigned

What You'll Bring

  • 1+ years' experience as an automotive mechanic, collision repair technician, prepper, painter, detailer  
  • Vocational certificate in automotive or collision repair preferred   
  • Capable of reading and comprehending automotive repair procedures   
  • Excellent attitude and enjoys working with other teams   
  • Capable of driving a forklift   
  • Must be able to lift up to 50 pounds   
  • Valid driver's license preferred

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
    $27.45 - $38.82/hour + 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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    关于Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    员工数

    Ciudad De Panamá

    总部位置

    $800B

    企业估值

    评价

    3.1

    5条评价

    工作生活平衡

    1.5

    薪酬

    1.2

    企业文化

    1.3

    职业发展

    1.8

    管理层

    1.1

    15%

    推荐给朋友

    优点

    Strong financial performance

    Revenue growth

    Company achieving targets

    缺点

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    薪资范围

    1,397个数据点

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2份报告

    $94,875

    年薪总额

    基本工资

    $82,500

    股票

    -

    奖金

    -

    $92,000

    $97,750

    面试经验

    4次面试

    难度

    3.5

    / 5

    时长

    14-28周

    体验

    正面 0%

    中性 75%

    负面 25%

    面试流程

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    常见问题

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts