Internship, Data Engineer, Applications Engineering (Summer 2024)

Tesla

Nov 8, 2023

Applications are closed

Internship
Full-time
Summer Internship
Data
San Francisco

Requirements

Currently pursuing a degree in Computer Science, Information Technology or a related field of study and graduating between 2024-2026
Proficiency in one or more of the following developer skills: Python, Java, Go, C/C++, Ruby, SQL or other common industry languages
Familiarity with database concepts such as MySQL, MS SQL
Nice to have for Data Platforms: Kafka, ETL, IoT telemetry experience, Site Reliability experience
Nice to have for Data Analytics: AirFlow, Splunk, Kafka, Spark
Excellent grasp of fundamental computer science concepts and ability to write well-organized code
Eagerness to collaborate cross-functionally with other engineering teams while able to work independently; detail-oriented and execution focused

Responsibilities

Data Engineering: The Data Engineering team is building a state-of-the- art analytics platform for business and operation intelligence. At Tesla, we have enormous amounts of data and we want to give meaning to it and help business users to make data driven decisions. Our platform will allow users to answer "what", "when" and "how" questions as well as allow them to ask "what if?” Interns will help design, develop, maintain and support our Enterprise Data Warehouse & BI platform within Tesla. This position offers a unique opportunity to impact to the entire organization by developing data tools and creating a data driven culture.
Data Platforms: Data is deeply embedded in the product and engineering culture at Tesla. We rely on data – lots of it – to improve autopilot, to optimize hardware designs, to proactively detect faults, and to optimize load on the electrical grid. This a small but fast-growing team which is building and operating the big data platform for the company. We collect massive amounts of IoT data, provide storage, access, and high-volume processing. Your work will affect many hundreds of Tesla engineers daily, as well as improve the functionality of our cars, chargers, and batteries worldwide.
Energy Analytics: The Energy Analytics team uses data analytics to bridge the engineering, service, and deployment of Tesla’s charging infrastructure and to enhance the charging experience worldwide. With over 18,000 Superchargers and several thousand destination charging sites around the world, Tesla’s charging infrastructure aims to accelerate the world’s transition to sustainable transportation by enabling electric mobility without compromises.
Fleet Analytics: The Fleet Analytics team supports and enhances products through the use of data science and data analytics tools. This team brings together data scientists and software engineers from across the company to foster collaboration, efficiency and to advance the best engineering and data analytics practices in the analytics community.

Tesla

Tesla’s mission is to accelerate the world’s transition to sustainable energy.

Automotive

Industry

10,001+

Employees

2003

Founded Year

Mission & Purpose

Tesla’s mission is to accelerate the world’s transition to sustainable energy through increasingly affordable electric vehicles in addition to renewable energy generation and storage. California-based Tesla is committed to having the best-in-class in safety, performance, and reliability in all Tesla cars. There are currently over 275,000 Model S, Model X and Model 3 vehicles on the road worldwide. To achieve a sustainable energy future, Tesla also created infinitely scalable energy products: Powerwall, Powerpack and Solar Roof. As the world’s only vertically integrated energy company, Tesla continues to innovate, scale and reduce the costs of commercial and grid-scale systems, with the goal of ultimately getting us to 100% renewable energy grids.