Data Engineer Mission: Build and operate the data pipelines that land, transform, and model data on the Snowflake platform reliably and efficiently.

Key responsibilities: Develop and maintain ingestion pipelines from source systems into Snowflake, covering both batch and streaming (e.g., Snowpipe, Streams & Tasks, connectors). Build transformation and data-modelling logic using SQL, dbt, and/or Snowpark (Python/Java). Implement automated testing, data-quality checks, monitoring, and alerting across pipelines.

Apply CI/CD and version control so pipeline changes are reviewed, tested, and deployed consistently. Optimize queries and warehouse usage for performance and cost (pruning, clustering, rightsizing). Document data lineage, transformations, and operational runbooks.

Qualifications:



7 years in data engineering in an enterprise environment 3 years in snowflake (snowpipe and snowpark) Solid SQL and Python; hands-on experience with ELT/ETL tooling, dbt, and orchestration (e.g., Airflow, dbt Cloud) Git-based version control and CI/CD familiarity; exposure to streaming ingestion a plus. SnowPro Core certification preferred.

Key skills: SQL, Python, dbt, pipeline orchestration, data quality, performance tuning, Git/CI-CD. This is a temporary contractor position and is a current existing vacancy. Please note that assignment durations, pay rates, and job duties are subject to Hydro One’s business needs and project requirements.

📌 Data Engineer (Snowflake) (Toronto)
🏢 Hydro One
📍 Toronto