Internship, Data Engineer, Electronic Devices (Summer 2025)

Consider before submitting an application:
This position is expected to start around May 2025 and continue through the Summer term (approximately August 2025) or into Fall 2025 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. entry level candidates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.
International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.
Location: Palo Alto, CA

Responsibilities

• Perform complex data analysis, transforming raw data into meaningful insights using Splunk, Spark, and Python

• Develop, maintain, and improve CI/CD pipelines to support Extract, Transform, and Load (ETL) applications and ensure data integrity

• Support application-level development, monitoring, debugging, and optimization to maintain system performance and reliability

• Build and enhance data pipelines to track insights on energy market incentives, tariffs, and pricing dynamics for data-driven decision-making

• Deploy scalable data pipelines that transform raw data into structured outputs for advanced analytics, machine learning, and AI-driven insights

• Develop tools and frameworks that enable engineers to efficiently query, summarize, and explore large datasets

• Research, prototype, and integrate a Large Language Model (LLM) to automate data retrieval and power a chatbot that assists engineers in analyzing and interpreting data

• Collaborate with cross-functional teams to design, implement, and optimize data processing workflows for improved efficiency and accuracy

Requirements

• Currently pursuing a degree in Computer Science, Data Science, Statistics, Mathematics, or equivalent
• Significant, demonstrated technical contributions towards past projects
• Programming experience with Python (preferred), MATLAB, and/or JavaScript
• Experience with continuous integration / continuous deployment
• Some familiarity with dev-ops tools: Git, Jenkins, Docker, Kubernetes, Splunk, Redis
• Experience with distributed computing (Spark/Hive/Hadoop)
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, or Plotly) to present insights effectively

Compensation and Benefits
Benefits

As a full-time Tesla Intern, you will be eligible for:

• 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 an option with a $0 payroll contribution
• Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k), Employee Stock Purchase Plans, and other financial benefits
• Company Paid Basic Life, AD&D, and short-term disability insurance
• Employee Assistance Program
• Sick time after 90 days of employment 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
• Commuter benefits
• Employee discounts and perks program
Expected Compensation

$20.00 - $45.00 + 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.