Software Engineering Intern (Data Platform)

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)

Help build and optimize streaming and batch data pipelines that support the core product. Collaborate with cross-functional teams to understand requirements and deliver solutions.

Currently pursuing an undergraduate degree in Computer Science or a related field, with at least 2 years of undergraduate study completed. Candidates should have experience with a compiled programming language like Java and a curiosity about large-scale data systems.

Identified from the job description. Confirm important requirements above.

• Software Patterns
• Data Structures
• Algorithms
• System Design
• Java
• Data Systems
• Real-Time Processing
• Problem-Solving
• Team Collaboration
• Databases
• Distributed Systems
• Data Processing
• Cloud Platforms
• Kafka
• Flink
• Spark

• Technology
• Engineering
• Data & Analytics
• Software

Minimum education

Bachelor’s degree

Minimum experience

0+ years

Posting language

English

Working hours

40 hours per week

Location requirements

Country, CA