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Field Service Electrician Apprentice, Commercial Energy Service

Tesla

Field Service Electrician Apprentice, Commercial Energy Service

Tesla

Mississauga, Ontario

·

On-site

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Full-time

·

Today

What To Expect
As a Commercial Field Service Apprentice Electrician with the Tesla Energy Commercial Operations Team, you will have the opportunity to work under the direction and supervision of a Licensed Electrician on the maintenance of commercial PV, energy storage, and supercharging stations. Skills in all areas of electrical are not necessarily required, but the job can and will involve a variety of electrical disciplines and a strong candidate will be able to perform a variety of electrical tasks from distribution/production power, lighting, and low voltage.

Working as a team with the entire Energy department, the Apprentice Electrician assists with the operations and maintenance of power distribution, transformers, lighting, and electrical equipment 480 VAC up to 1000VDC, Inverters, Batteries, DC strings under the guidance of a Licensed Electrician.

What You'll Do

  • Maintain and troubleshoot various types of electrical components
  • Uses complex electrical schematics and blueprints
  • Consult manuals, read and interpret diagrams, blueprints, and schematics
  • Perform a wide variety of job scopes. (servicing electric vehicle charging stations, battery energy storage systems and any other required tasks assigned)
  • Display positive attitude and practice good work ethics that reflects the mission, philosophy, and goals of the company
  • Complete tasks in a timely manner and provide feedback


  • What You'll Bring

  • Must be a Registered 309A construction and maintenance electrician apprentice with the Skill Trades Ontario (ONTARIO OPENINGS) or Industry Training Authority (VANCOUVER OPENINGS)
  • Knowledge of basic electrical theory and Ohms law. Must have 1-2 years of electrical experience including the installation of electrical equipment
  • Use a variety of tools and equipment, such as power construction equipment, measuring devices, power tools, and testing equipment
  • Experience working with low voltage control circuits & AC power circuits. Ability to interpret electrical prints and schematics
  • Ability to travel to numerous sites daily and travel up to 2 weeks at a time with short notice with flexibility to work on weekends and/or overtime along with overnight stay to support Tesla’s critical mission
  • Must be able to work at great heights, work in extreme environments, perform prolonged periods of repetitious duties, lift at least 50 pounds frequently
  • Must have compliant government issued identification for domestic air travel and/or to access certain federal facilities. Valid driver's license required
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    About Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    Employees

    Ciudad De Panamá

    Headquarters

    $800B

    Valuation

    Reviews

    3.1

    5 reviews

    Work Life Balance

    1.5

    Compensation

    1.2

    Culture

    1.3

    Career

    1.8

    Management

    1.1

    15%

    Recommend to a Friend

    Pros

    Strong financial performance

    Revenue growth

    Company achieving targets

    Cons

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    Salary Ranges

    3,570 data points

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2 reports

    $94,875

    total / year

    Base

    $82,500

    Stock

    -

    Bonus

    -

    $92,000

    $97,750

    Interview Experience

    4 interviews

    Difficulty

    3.5

    / 5

    Duration

    14-28 weeks

    Experience

    Positive 0%

    Neutral 75%

    Negative 25%

    Interview Process

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    Common Questions

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts