Data Engineer, Low Voltage, Field Reliability
Description For Data Engineer, Low Voltage, Field Reliability
Tesla's Field Reliability Engineering team is seeking a Data Engineer to join their mission of enhancing customer experience through data-driven insights. This role combines big data analytics with practical engineering applications to improve Tesla's vehicle reliability and customer satisfaction.
The position offers a unique opportunity to work with cutting-edge technology stacks including Splunk, Spark, and Python within a Kubernetes environment. Based in Sunnyvale, CA, you'll be responsible for analyzing millions of service and repair records, building robust data infrastructure, and developing ETL pipelines that power Tesla's reliability initiatives.
As a Data Engineer, you'll collaborate with various engineering teams to transform raw data into actionable insights through meaningful visualizations and tools. The role requires strong technical skills in Python, SQL, and big data technologies, combined with statistical analysis capabilities and excellent communication skills.
The position offers competitive compensation ranging from $80,000 to $186,000 annually, plus additional benefits including medical insurance with $0 payroll deduction options, 401(k) with employer match, and stock purchase plans. This is an excellent opportunity for a data professional who is passionate about improving complex systems and wants to make a direct impact on Tesla's product quality and customer satisfaction.
Working at Tesla means joining a team dedicated to sustainable energy and innovative technology. The role provides exposure to complex technical challenges while working with cross-functional teams to drive meaningful improvements in Tesla's products. If you're passionate about data-driven decision-making and want to be part of revolutionizing the automotive industry through advanced analytics, this role offers the perfect blend of technical challenge and meaningful impact.
Responsibilities For Data Engineer, Low Voltage, Field Reliability
- Analyze service and vehicle data to extract actionable insights and identify field failure trends
- Develop, maintain, and optimize ETL pipelines and CI/CD workflows
- Build and enhance applications using Splunk, Spark, Python, and Kubernetes
- Create dashboards and visualizations using Tableau, Matplotlib, or Plotly
- Collaborate with cross-functional teams to gather requirements
- Conduct statistical analyses to quantify reliability risks
- Support and troubleshoot application-level issues
- Maintain and improve data systems, pipelines, and dashboards
- Drive continuous improvement of data systems
Requirements For Data Engineer, Low Voltage, Field Reliability
- Degree in Computer Science, Software Engineering, Electrical Engineering, Physics, Math, or equivalent experience
- 3+ years working with advanced data analysis tools
- 2+ years with Python, Splunk, Spark, and SQL
- Proficiency in data visualization tools
- Strong understanding of statistical analysis techniques
- Experience with Kubernetes, Docker, and CI/CD processes
- Exceptional analytical and problem-solving skills
- Strong collaboration abilities
- Excellent verbal and written communication skills
- Passion for data and data-driven decision-making
Benefits For Data Engineer, Low Voltage, Field Reliability
- Medical insurance with $0 payroll deduction options
- Family-building, fertility, adoption and surrogacy benefits
- Dental and vision plans
- Company Paid HSA Contribution
- Healthcare and Dependent Care FSA
- 401(k) with employer match
- Employee Stock Purchase Plans
- Life, AD&D, short-term and long-term disability insurance
- Employee Assistance Program
- Sick and Vacation time
- Back-up childcare
- Commuter benefits
- Employee discounts
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