Tesla Internship Data Engineer Electronic Devices Summer 

United States, California, Palo Alto 

597083177

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