Founding Engineer, Data Platform

Recruiting From Scratch; Toronto; On-site; CAD 150,000 - 200,000; Full time

Job summary

A venture-backed startup in Toronto is seeking a Senior Data Platform Engineer to revolutionize the commercial trucking industry through innovative API solutions. The ideal candidate will design scalable data platforms, process IoT data, and contribute to architectural decisions, working in a collaborative in-office environment.

Benefits

Equity: 0.50% - 1.50%

Healthcare: $3,000 annual spending account

Lifestyle: $3,000 annual spending account

Vacation: 4 weeks paid time off

Latest MacBook and tech setup

Qualifications

• 3+ years of experience in platform engineering or data engineering.
• Strong background in building and optimizing large-scale data pipelines.
• Experience with lake-house architectures like Iceberg or Delta.

Responsibilities

• Design and implement scalable data platforms handling IoT data.
• Build and optimize data pipelines supporting core product functionality.
• Develop real-time processing systems for growing data volumes.

Skills

Data processing

IoT systems

Java

Kafka

Spark

Tools

AWS

TypeScript

Node.js

Job description

Who is Recruiting from Scratch:

Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.

https://www.recruitingfromscratch.com/

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.