Software Engineering Intern (Data Platform)
Software Engineering Intern (Data Platform) at Terminal — 📍 Toronto, ON, US
- Company: Terminal
- Location: 📍 Toronto, ON, US
- Employment type: INTERN
- Posted: 2026-07-17
About this role
About Terminal
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.
For more info, check out our website: https://withterminal.com
Note: This role is only available to Toronto/GTA-based candidates
About the role
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.
What you will do
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
About you
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
Required qualifications
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
Bonus points
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
Technologies you’ll learn
Languages: Java, Python
Framework: Spring Boot
Storage: Apache Iceberg, Apache Doris, AWS S3
Streaming + ETL: AWS Kinesis, Apache Kafka, Apache Flink, Apache Spark
Infrastructure as Code: Pulumi, AWS CDK
CI/CD: GitHub Actions
The interview process
Coding Challenge (30 min) + Project Showcase (30 min)
Cultural Loop (60 min)