Job Description

Our client is a high growth, exciting and already-profitable startup in Toronto - a chance to join a Rocketship at an early stage.

We're seeking a Data Engineer to own the health, quality, and reliability of critical data infrastructure. You'll be the go-to person ensuring data flows seamlessly across the stack - from pipelines to warehouse to the AI systems that power their products. Think of yourself as the Chief Engineer keeping all systems running, often under pressure.

This is a hybrid role, 4 days onsite, HQ downtown Toronto

What You’ll Do:

  • Own data pipeline health, monitoring, debugging, and ensuring data quality across all pipelines
  • Build and maintain integrations across the full data stack: SQL → ETL → Data Warehouse → Insights
  • Develop and support AI/agentic systems, including building context pipelines that power their AI products
  • Work with AWS infrastructure (ECS, Lambdas, RDS), Snowflake, Airflow, DBT, and ...

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