Staff Data Engineer

Tesla’s Infrastructure Operations and Analytics team is seeking a Staff Data Engineer to support end-to-end analytics delivery. This role blends data engineering and data analysis to design, build, and optimize pipelines, dashboards, and reporting that enable actionable operational intelligence.

Role Summary

As a Staff Data Engineer, you will interpret complex business logic and translate it into simple, effective implementations aligned with project timelines. You will extract insights and identify trends, with an emphasis on cost-saving opportunities tied to CAPEX and OPEX data. The position supports the development of systems for data collection, visualization, and intelligence, while strengthening pipeline architecture over time.

Key Responsibilities

• Interpret complex business logic and implement straightforward, elegant solutions while meeting project timelines
• Extract actionable insights and identify trends that support stakeholders in driving cost-saving improvements on CAPEX and OPEX data
• Maintain, optimize, and develop ETL pipelines using SQL, Airflow, and Python
• Create visualizations using Power BI, Tableau, Excel, and in-house dashboard platforms
• Continually broaden your data engineering and analysis capabilities
• Lead continuous improvement efforts aimed at enabling cost savings and optimizing Tesla’s products and processes
• Apply strong communication, organizational, presentation, and flexibility skills to manage competing demands

Requirements

• Bachelor’s Degree in Data Analytics or equivalent experience
• 7+ years of experience with programming languages including SQL, Python, DAX, or similar
• Proficiency with data visualization tools such as Power BI, Tableau, and Excel, or similar tools
• Proficiency with tools including SSMS, Airflow, Microsoft Azure, and SQL Server
• In-depth knowledge of RDBMS development, Data Warehousing, and Data Modeling techniques
• Demonstrated success applying statistical methods to data analysis, particularly budget forecasting
• Proven ability to integrate source systems and deliver self-serve Business Intelligence

Technologies

SQL, Airflow, Python, Power BI, Tableau, Excel, DAX, SSMS, Microsoft Azure, SQL Server, RDBMS, Data Warehousing, Data Modeling, Business Intelligence

What to Expect

• The Infrastructure Operations and Analytics team works directly with operations data to design solutions that optimize pipeline architecture and build systems for data collection, visualization, and intelligence
• You will operate as both a Data Engineer and Data Analyst to provide Construction and Operation stakeholders with actionable insights for prioritization, cost savings, and early risk detection
• You will maintain and develop data pipelines, dashboards, and reporting systems to meet high standards for robustness, flexibility, scalability, and efficiency

Compensation

• $144,000 - $270,000 per year salary
• Cash and stock awards plus benefits
• Pay may vary based on individualized factors including market location, job-related knowledge, skills, and experience
• Total compensation may include additional elements depending on the position offered

Benefits

• Medical plans with plan options and $0 payroll deduction
• Family-building, fertility, adoption, and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans with options and $0 paycheck contribution
• Company Paid HSA contribution when enrolled in the High-Deductible medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company paid Basic Life and AD&D
• Short-term and long-term disability insurance with a 90 day waiting period
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions, accrued hours for hourly positions) and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits including 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
• Earned Wage Access: real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)

Location

Fremont, CA (onsite)

Education and Experience

Bachelor’s Degree in Data Analytics

Minimum experience: 7 years