Join Kodiak Robotics as a Data Engineering Intern to optimize data systems and build robust data pipelines in a fast-paced environment.
Posted by employer 1 week ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
The company has developed an AI-powered technology stack for autonomous ground transportation.
Requirements
Not disclosed in this posting: years of experience.
Benefits
Joblaze summary
The Data Engineering Intern at Kodiak Robotics will focus on optimizing and maintaining data stores like AuroraDB and ElasticSearch, while also designing and building data pipelines to support the company's autonomous technology initiatives. Key skills include a solid understanding of database design, cloud platforms, and BI tools, alongside a collaborative mindset. This role is ideal for students pursuing degrees in technical fields who are eager to apply their knowledge in a fast-paced environment. Kodiak's commitment to innovation in autonomous systems offers a unique opportunity for interns to contribute to cutting-edge projects.
Joblaze insights
Quick facts
From the original posting
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.
In this role, you will:
• 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.
Qualifications:
• 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.
Bonus Points:
• 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.
Internship Program Details:
What We Offer:
The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package