Own Homebase’s streaming data infrastructure in Toronto, from CDC pipelines through Delta. The hybrid schedule requires office collaboration Tuesdays and Wednesdays.
As a Data and ML Platform Engineer, you will build systems that keep data and AI features moving reliably. Your scope includes Kafka, Debezium, Spark streaming, Delta, ingestion service levels, and replay or restream capabilities. You will also manage infrastructure deployment and share operational responsibility through on-call.

Key Responsibilities

Develop CDC pipelines with Kafka and DebeziumStream data through Spark into DeltaSupport replay, restream, and ingestion SLAsDeploy data infrastructure through CI/CD and DABsHelp reduce noise through the on-call rotationRequirements:
Production experience with distributed streaming systemsHands-on Spark and Delta experienceInfrastructure-as-code experience, ideally TerraformContainer infrastructure experience with Docker, ECS, or KubernetesOwnership mindset and comfort working through ambiguityBring streaming systems, infrastructure-as-code, and operational ownership to Homebase’s Toronto data and AI platform.
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📌 Streaming Data Infrastructure Engineer (Winnipeg)
🏢 Homebase
📍 Winnipeg