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Job Category | Energy - Solar & Storage |
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Location | Fremont, California |
Req. ID | 200704 |
Job Type | Full-time |
Tesla participates in the E-Verify Program
Tesla is looking for a Data Engineer to join the EnergyAsset Management team responsible for preparing data for analytical andoperational uses across all of energy products. The team builds and maintainsdata pipelines that consolidate data from different systems into a structuredformat that can be consumed by the team to build reports, dashboards and drivedecisions.
*Deploy data pipelines that transforms data into structureoutput for analytics in a robust, efficient, and scalable framework
*Build tools and frameworks to help users summarize andexplore the data
*Automate reporting and data quality checks
*Provide ongoing support for deployed pipelines
* Bachelor's degree or higher in Computer Science,Computer Engineering or equivalent in experience
* Strong knowledge of SQL and Python
* Demonstrated experience building data pipelinesusing Airflow
* Working knowledge of Spark and big dataprocessing
* Experience with Git or other source controlsoftware
* Scala experience is a plus
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
$80,000 - $258,000/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.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
For quick access to screen reading technology compatible with this site (free step by step ). Please contact for additional information or to request accommodations.
Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our
Full Time
Durable Manufacturing
$128k-157k (estimate)
07/27/2023
04/10/2024
alextechweek.com
TORONTO, ONTARIO
500 - 1,000
2002
$500M - $1B
Durable Manufacturing
The job skills required for Data Engineer include SQL, Python, Computer Science, Data Quality, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
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Oil changes are an essential component of preventative maintenance.
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A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
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Step 3: View the best colleges and universities for Data Engineer.