Winter 2027 Intern, Data Engineering

Kodiak•Mountain View, CA

1d•Onsite

About The Position

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. Data Engineering Intern We are looking for a highly skilled Data Engineering Intern to join us and solve real-world robotics problems. Our ideal candidates exhibit a can-do attitude and approach their work with vigor and determination. Candidates will be expected to demonstrate excellence in their respective fields and possess the ability to learn quickly in a fast-paced environment.

Requirements

Pursuing a BS, MS, or PhD in Computer Science, Data Engineering, Statistics, or a related quantitative technical field.
Strong working knowledge of relational and/or object database design, query optimization, and schema management.
Experience or strong familiarity with cloud-based data platforms such as AWS Aurora DB and ElasticSearch, and building associated ETL/ELT pipelines.
Familiarity with BI tools, dashboarding frameworks, or automated reporting factories (e.g., AWS QuickSight, Kibana, or custom visualization frameworks).
Thinking with a safety mindset and an interest in autonomous systems or robotics.
Ability to take ownership and enjoy working collaboratively to deliver dependable data solutions.
Experience with version control systems (e.g., Git) and modern software development workflows.

Nice To Haves

Hands-on internship or project experience building automated data pipelines or managing cloud database infrastructure.
Familiarity with infrastructure-as-code or automated data integration frameworks.

Responsibilities

Optimize and maintain AuroraDB, ElasticSearch, and other data stores to ensure high availability, scalability, and performance for critical robotics and safety datasets.
Design, build, and maintain robust data pipelines to facilitate the continuous development of our data platform, ensuring data cleanliness, reliability, and efficient ingestion.
Explore, evaluate, and scale QuickSight and modular dashboarding frameworks/factories to streamline reporting and surface actionable insights across the organization.