Our client is a rapidly growing YC-backed Toronto-based DataTech startup, experiencing unbelievable global growth in the trucking & logistics space! We are recruiting for a Founding Platform Engineer to join their small but mighty team out of their DT Toronto office.
On-site role - 4x/week (Mon-Thurs). $150-200k/base + Meaningful Equity
Responsibilities:
Own projects aimed at enhancing data replication, storage, enrichment, and reporting capabilities.
Build and optimize efficient streaming and batch data pipelines that support their core product and API.
Design scalable storage solutions for handling terabytes of IoT and time-series data.
Develop and maintain real-time data systems to ingest growing data volumes.
Implement distributed tracing and observability patterns to improve monitoring and troubleshooting.
Write clean, maintainable code in Java and Node.js for various platform components.
Shape architectural decisions to ensure scalability and reliability throughout the data platform.
Qualifications:
4+ years of experience in platform engineering or data engineering.
2+ years of experience designing and optimizing data pipelines at TB to PB scale.
Strong system design skills with a focus on data workflows.
Familiarity with lake-house architectures (e.g., Iceberg, Delta, Hudi, Snowflake).
Experience with real-time data processing tools like Kafka, Spark and Flink.
Knowledge of distributed systems and large-scale data challenges.
Proficient in Java, with a focus on clean, maintainable code.
Strong problem-solving skills and a collaborative mindset.
Stack
Languages: JavaScript / TypeScript, Java
Infrastructure as Code (IaC): SST, AWS CDK
Cloud Services:
-Compute and Orchestration: AWS Lambda, AWS Step Functions
-Storage: Amazon S3, Amazon DynamoDB
-Messaging and Events: Amazon SQS, Amazon EventBridge
Data Processing: AWS Glue, Apache Flink, Kafka, Iceberg, DuckDB
CI/CD: GitHub Actions
