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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.
Responsibilities
- 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
Qualifications
3+ years of experience in platform engineering or data engineeringStrong track record building and optimizing large-scale data pipelinesExperience 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 expertiseExperience with IoT platforms or telematics systems is valuableBackground in companies handling high-volume, real-time data streamsPreferred Experience
Experience with AWS services (Lambda, DynamoDB, S3, SQS, EventBridge)Knowledge of TypeScript and Node.jsBackground in insurance or logistics technologyExperience with data quality and validation in high-scale environmentsCompensation & Benefits
Base Salary : CAD $150,000 - $200,000Equity : 0.50% - 1.50%Healthcare : $3,000 annual spending accountLifestyle : $3,000 annual spending accountVacation : 4 weeks paid time offEquipment : Latest MacBook and tech setupLocation : 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.
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