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Data Engineer – Field Reliability
Company | Tesla |
Address | Fremont, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Renewable Energy Semiconductor Manufacturing,Motor Vehicle Manufacturing,Utilities |
Expires | 2023-07-18 |
Posted at | 10 months ago |
What To Expect
The Role
The data analytics team is looking for a savvy Data Engineer to join the team. The field reliability team is responsible for reporting on millions of repair records from service data and is seeking a Data Engineer to lead the organization of this data and support the team of vehicle engineers in making data-driven decisions to improve vehicle quality. The hire will be responsible for expanding and optimizing our data processes, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The right candidate will be excited by the prospect of optimizing or even re-designing our team’s data architecture to support our ever-growing fleet of vehicles and other data initiatives.
The level of this position will be determined at the time of the interview. This position is located in Fremont, CA.
Responsibilities
Create and maintain optimal data pipeline architecture. Contribute to the continued automation and standardization of our data ETL. Identify, design, and implement internal process improvements: automating manual processes, optimizing queries, re-designing infrastructure for greater scalability, etc. Work with stakeholders including the IT Business Intelligence team to assist with data-related technical issues and support data infrastructure needs. Create data pipelines for analytics and data scientist team members that assist them in building and optimizing their KPI metric dashboards. Construct and manage data workflows and aggregations to support reporting on live data connections. Build visualizations via Tableau and other tools to effectively communicate results.
Requirements
Bachelor’s degree or higher in quantitative discipline (e.g. Computer Science, Statistics, Informatics, Information Systems) or the equivalent in experience and evidence of exceptional ability. Advanced working SQL knowledge and experience working with relational databases, as well as working familiarity with a variety of database engines. Advanced knowledge of Python w/Pandas. Experience with data pipeline and workflow management tools: Airflow, etc. Experience and interest in data visualization techniques (e.g, Tableau, Matplotlib) Experience using the JIRA ecosystem a plus. Strong verbal and written communication skills.
Nice to have
Working knowledge of the Hadoop ecosystem (HDFS, Spark, Presto and HBase). Experience with developing predictive models on time-series data. Experience with quick web application development (e.g. Flask, JQuery, Angular).
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Aetna PPO and HSA plans > 2 medical 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 Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) LGBTQ+ care concierge services 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 Employee Assistance Program Sick and Vacation time (Flex time for salary 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
$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.
#MFG
The Role
The data analytics team is looking for a savvy Data Engineer to join the team. The field reliability team is responsible for reporting on millions of repair records from service data and is seeking a Data Engineer to lead the organization of this data and support the team of vehicle engineers in making data-driven decisions to improve vehicle quality. The hire will be responsible for expanding and optimizing our data processes, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The right candidate will be excited by the prospect of optimizing or even re-designing our team’s data architecture to support our ever-growing fleet of vehicles and other data initiatives.
The level of this position will be determined at the time of the interview. This position is located in Fremont, CA.
Responsibilities
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.
#MFG
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