Data Engineer, Cell Quality & Field Reliability
Description For Data Engineer, Cell Quality & Field Reliability
The Cell Quality team at Tesla is seeking a Data Engineer to support daily fleet diagnostics and analytics activities for Li-ion cell production across all programs. This role involves extensive data analysis of field failures, trend identification, and creation of test models to ensure proper detection and outlier rejection criteria. The ideal candidate will have strong SQL and Python skills, experience with data visualization tools, and knowledge of big data technologies. They will be responsible for analyzing field reliability data, producing data visualizations, and authoring technical presentations. The role requires a degree in Data Science, Data Analytics, Computer Science, or Engineering, with a preference for experience in quality control in test/manufacturing environments and process optimization. This position offers an opportunity to work on critical projects that impact Tesla's cell manufacturing and reliability across various product lines.
Responsibilities For Data Engineer, Cell Quality & Field Reliability
- Perform extensive data study on field failures and correlation studies with upstream cell manufacturing process
- Create test models for proper detection and outlier rejection criteria
- Identify trends from field return data and quantify reliability risks
- Create data visualizations to communicate analysis results
- Analyze Field Reliability/Quality data for cell-related failures
- Predict expected failure rates and affected populations
- Verify effectiveness of corrective actions at Tesla and suppliers
- Produce data visualizations and author technical presentations
Requirements For Data Engineer, Cell Quality & Field Reliability
- Strong SQL, Python queries for data analytics
- Applied knowledge of statistical analysis and time series analysis
- Working knowledge of reliability statistics such as Weibull Analysis
- Experience building optimal ETL data pipelines
- Strong data visualization skills (Tableau/JMP, Python packages)
- Working knowledge of Big Data technologies (Hadoop ecosystem)
- Excellent verbal and written communication skills
- Degree in Data Science, Data Analytics, Computer Science, Engineering, or equivalent experience
- Quality control experience in test/manufacturing environment (preferred)
- Design of experiments for process optimization (preferred)
Benefits For Data Engineer, Cell Quality & Field Reliability
- Medical insurance (Aetna PPO and HSA plans)
- Dental insurance (including orthodontic coverage)
- Vision insurance
- Health Savings Account (HSA) with company contribution
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k) with employer match
- Employee Stock Purchase Plans
- Life insurance
- AD&D insurance
- Short-term and long-term disability insurance
- Employee Assistance Program
- Sick and Vacation time
- Paid Holidays
- Back-up childcare
- Parenting support resources
- Critical illness insurance
- Hospital indemnity insurance
- Accident insurance
- Theft & legal services
- Pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
