Data Engineer

As part of Tesla’s Infrastructure Operations and Analytics team, this Data Engineer and Data Analyst role focuses on turning complex data into actionable insights. You will design, build, and maintain data pipelines, dashboards, and reporting systems that help stakeholders detect risk early and support cost-saving improvements tied to CAPEX and OPEX.

The work centers on ETL and data visualization, with an ongoing emphasis on improving pipeline architecture and operational efficiency across data products and processes.

Responsibilities

• Interpret complex business logic and implement solutions that are simple, elegant, and aligned with project timelines
• Extract actionable insights, identify trends, and 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 expand your data engineering and analysis skill set
• Lead continuous improvement efforts that enable cost savings and optimize Tesla’s products and processes
• Use strong communication, organizational, and presentation skills while staying flexible to address competing demands

Requirements

• Bachelor’s Degree in Data Analytics or equivalent experience
• 3+ years of experience with programming languages such as SQL, Python, DAX, or similar
• Proficiency with data visualization tools such as Power BI, Tableau, Excel, or similar
• 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 for budget forecasting
• Proven history integrating source systems and delivering self-serve Business Intelligence

Technologies

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

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, AD&D
• Short-term and long-term disability insurance (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: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• TesIa 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)

Expected Compensation

• $120,000 - $216,000 annual salary + cash and stock awards + benefits
• Pay may vary based on individualized factors including market location and job-related knowledge, skills, and experience
• Total compensation may include other elements depending on the position offered
• Benefit plan details are provided if an employee receives an offer of employment

Location: Fremont, CA (onsite)

Experience: 3 years minimum

Education: Bachelor’s Degree in Data Analytics