Data Engineer, Energy

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 systems
• Analyze manufacturing, equipment and product field data and extract useful statistics and insights about failures to drive meaningful improvements to production quality and customer experience
• Work effectively with Engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling
• Monitor key product metrics, understanding root causes of changes
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports
• Maintain existing data visualizations, data pipelines and dashboard enhancement requests
• Acquire data from primary or secondary data sources and maintain databases/data systems to empower operational and exploratory analysis
• Perform data quality validations to ensure data creation is as per the business needs and expectations

Requirements

• Bachelor's Degree in Management Information Systems, Computer Science, Math, Physics, Engineering, Statistics or another technical field, or equivalent experience
• Extensive experience writing software with Python
• Experience with multiple data architecture paradigms (e.g. SQL, NoSQL, Kafka, Spark)
• Experience and interest in frontend development, preferably with the JavaScript React framework
• Knowledge of various data communication protocols (e.g. REST API, WebSocket)
• Able to work under pressure while collaborating and managing competing demands with tight deadlines
• Experience 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 environment
• Success building and tuning image classification model

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:

• 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


• Associate Data Engineer - $68,000 - $102,000/annual salary
• Data Engineer - $91,800 - $137,700/annual salary
• Sr Data Engineer - $105,400 - $158,100/annual salary
, depending on level + 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.