Software Engineering Intern (Data Platform)

Terminal • Toronto, ON

4d • Onsite

About The Position

Terminal is Plaid for Telematics in commercial trucking. Companies building the next generation of insurance products, financial services and fleet software for trucking use our Universal API to access GPS data, speeding data and vehicle stats. We are a fast-growing, venture-backed startup supported by top investors including Y Combinator, Golden Ventures and Wayfinder Ventures. Our exceptionally talented team is based in Toronto, Canada.

We're looking for a software engineering intern who's excited about building scalable data platforms. This is an opportunity to work on real production systems, contributing to the data platform that powers Terminal's API and handles everything from data streaming and storage to analytics at petabyte scale. You'll work closely with our senior software engineers, contributing to projects that directly impact how we process and deliver high-volume telematics data to our customers.

Requirements

• Available for a 4-12 month internship on-site at our office in downtown Toronto, starting this upcoming fall or winter term
• Currently pursuing an undergraduate degree in Computer Science or a related field
• Completed at least 2 full years of undergrad (3rd+ year)
• Completed at least 1 prior professional software internship
• Understanding of software patterns, data structures, algorithms, and basic system design
• Experience with a compiled programming language like Java
• Curious about large-scale data systems and real-time processing
• Strong problem-solving skills and eagerness to learn
• Able to work collaboratively in a team environment

Nice To Haves

• Coursework or projects involving databases, distributed systems, or data processing
• Personal or academic projects involving data pipelines or stream processing
• Exposure to cloud platforms (AWS, GCP, or Azure)
• Experience working with Java
• Exposure to technologies similar to Kafka, Flink, or Spark

Responsibilities

• Help build and optimize streaming and batch data pipelines that support our core product
• Work on scalable storage solutions for handling petabytes of IoT and time-series data
• Support implementation of data quality and data processing capabilities
• Participate in code reviews and learn best practices for writing clean, maintainable code
• Directly support and engage with our customers and partners
• Collaborate with cross-functional teams to understand requirements and deliver solutions
• Gain hands-on experience with modern data infrastructure technologies and AI tools

What This Job Offers

• Career Level: Intern