TekRek is partnered with a high-growth product company building the data platform behind a contemporary telematics API, supporting real-time ingestion, storage, enrichment, and analytics for high-volume IoT and time-series workloads at petabyte scale.The RoleThis is not a traditional data engineering seat; you will own the long-term buildout of the data platform powering the API and analytics layer, drive architectural direction, and partner with product, engineering, and leadership to deliver scalable abstractions and reusable components.What You'll DoOwn projects enhancing data replication, storage, enrichment,



and reporting capabilitiesBuild and optimize streaming and batch pipelines that support the core product and APIDesign scalable storage solutions for petabytes of IoT and time-series dataDevelop and maintain real-time ingestion systems to support growing data volumesImplement distributed tracing, data lineage, and observability to improve monitoring and troubleshootingWhat You Bring (Must Have)8 plus years of experience in platform engineering or data engineering6 plus years designing and optimizing data pipelines at TB to PB scaleStrong Java proficiency with a focus on clean, maintainable production codeStrong system design skills for big data and real-time workflowsExperience with lakehouse and streaming ecosystems such as Iceberg or Delta, plus Kafka or Flink or SparkLanguages: Java, PythonFramework: Spring BootStreaming: AWS Kinesis, Kafka, FlinkETL: AWS Glue, SparkServerless: SQS, EventBridge, Lambda, Step Functions

📌 Staff Data Platform Engineer (Toronto)
🏢 TekRek
📍 Toronto