Founding Engineer, Data Platform

Senior Data Platform Engineer - Fast-Growing YC-Backed Startup

Toronto, Canada (In-Office)

Company Overview

Our client is a venture-backed startup revolutionizing the commercial trucking industry through innovative API solutions. As a rapidly growing Y Combinator company that has achieved 15X growth post-batch, they're building the future of telematics data infrastructure. Their platform processes massive amounts of IoT and GPS data to power next-generation insurance and fleet management solutions.

What You'll Do

• Design and implement scalable data platforms handling terabyte-scale IoT and time-series data
• Build and optimize both streaming and batch data pipelines supporting core product functionality
• Develop real-time data processing systems to handle rapidly growing data volumes
• Create robust storage solutions and data enrichment processes
• Implement comprehensive observability patterns for system monitoring
• Contribute to architectural decisions that shape the platform's future
• Write clean, maintainable code in Java and Node.js

Ideal Candidate Background

• 3+ years of experience in platform engineering or data engineering
• Strong track record building and optimizing large-scale data pipelines
• Experience with lake-house architectures (e.g., Iceberg, Delta, Hudi)
• Proficiency in real-time data processing technologies (Kafka, Spark, Flink)
• Strong software development foundation with Java expertise
• Experience with IoT platforms or telematics systems is valuable
• Background in companies handling high-volume, real-time data streams

Preferred Experience

• Experience with AWS services (Lambda, DynamoDB, S3, SQS, EventBridge)
• Knowledge of TypeScript and Node.js
• Background in insurance or logistics technology
• Experience with data quality and validation in high-scale environments

Compensation & Benefits

• Base Salary: CAD $150,000 - $200,000
• Equity: 0.50% - 1.50%
• Healthcare: $3,000 annual spending account
• Lifestyle: $3,000 annual spending account
• Vacation: 4 weeks paid time off
• Equipment: Latest MacBook and tech setup
• Location: Downtown Toronto office (Queen and University area)
• Work Culture: In-person, collaborative environment (4 days/week in-office)

Join a team that's tackling complex technical challenges at scale while building the future of commercial transportation technology. You'll have the opportunity to shape core architecture decisions and work with cutting-edge data sources including IoT, telematics, weather, and traffic data.