Tesla
Data Engineer, Energy
Tesla, Buffalo, New York, United States, 14266
The Gigafactory Quality Team in New York is looking for a Data Engineer to support Quality Engineering initiatives on site. This position will support automation of production controls, defect prediction, advanced statistics, automate data pipelines and maintaining respective databases, creating live visualization tools to enable quality assurance for Tesla Energy products.
Responsibilities
Define requirements and perform validation of manufacturing execution systemsAnalyze manufacturing, equipment and product field data and extract useful statistics and insights about failures to drive meaningful improvements to production quality and customer experienceWork effectively with Engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modelingMonitor key product metrics, understanding root causes of changesInterpret data, analyze results using statistical techniques and provide ongoing reportsIdentify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reportsMaintain existing data visualizations, data pipelines and dashboard enhancement requestsAcquire data from primary or secondary data sources and maintain databases/data systems to empower operational and exploratory analysisPerform data quality validations to ensure data creation is as per the business needs and expectationsRequirements
Bachelor's Degree in Management Information Systems, Computer Science, Math, Physics, Engineering, Statistics or another technical field, or equivalent experienceExtensive experience writing software with PythonExperience with multiple data architecture paradigms (e.g. SQL, NoSQL, Kafka, Spark)Experience and interest in frontend development, preferably with the JavaScript React frameworkKnowledge of various data communication protocols (e.g. REST API, WebSocket)Able to work under pressure while collaborating and managing competing demands with tight deadlinesExperience with open-source machine learning libraries and frameworks (Tensorflow, Keras, etc.)Familiarity with continuous integration pipelines (Docker, Jenkins, Kubernetes)Ability to drive introduction of predictive model to a production environmentSuccess building and tuning image classification modelCompensation and BenefitsBenefits
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 deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)LGBTQ+ care concierge services401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&D, short-term and long-term disability insuranceEmployee Assistance ProgramSick and Vacation time (Flex time for salary positions), and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insuranceWeight Loss and Tobacco Cessation ProgramsTesla Babies programCommuter benefitsEmployee discounts and perks programExpected Compensation
Associate Data Engineer - $68,000 - $102,000/annual salaryData Engineer - $91,800 - $137,700/annual salarySr Data Engineer - $105,400 - $158,100/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.
Responsibilities
Define requirements and perform validation of manufacturing execution systemsAnalyze manufacturing, equipment and product field data and extract useful statistics and insights about failures to drive meaningful improvements to production quality and customer experienceWork effectively with Engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modelingMonitor key product metrics, understanding root causes of changesInterpret data, analyze results using statistical techniques and provide ongoing reportsIdentify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reportsMaintain existing data visualizations, data pipelines and dashboard enhancement requestsAcquire data from primary or secondary data sources and maintain databases/data systems to empower operational and exploratory analysisPerform data quality validations to ensure data creation is as per the business needs and expectationsRequirements
Bachelor's Degree in Management Information Systems, Computer Science, Math, Physics, Engineering, Statistics or another technical field, or equivalent experienceExtensive experience writing software with PythonExperience with multiple data architecture paradigms (e.g. SQL, NoSQL, Kafka, Spark)Experience and interest in frontend development, preferably with the JavaScript React frameworkKnowledge of various data communication protocols (e.g. REST API, WebSocket)Able to work under pressure while collaborating and managing competing demands with tight deadlinesExperience with open-source machine learning libraries and frameworks (Tensorflow, Keras, etc.)Familiarity with continuous integration pipelines (Docker, Jenkins, Kubernetes)Ability to drive introduction of predictive model to a production environmentSuccess building and tuning image classification modelCompensation and BenefitsBenefits
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 deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)LGBTQ+ care concierge services401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&D, short-term and long-term disability insuranceEmployee Assistance ProgramSick and Vacation time (Flex time for salary positions), and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insuranceWeight Loss and Tobacco Cessation ProgramsTesla Babies programCommuter benefitsEmployee discounts and perks programExpected Compensation
Associate Data Engineer - $68,000 - $102,000/annual salaryData Engineer - $91,800 - $137,700/annual salarySr Data Engineer - $105,400 - $158,100/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.