Build Snowflake data platforms with advanced SQL and Python for Augmented in Toronto, working hybrid two to three days on-site. Design reliable pipelines for enterprise data workloads.
Augmented seeks an intermediate to senior Data Engineer with four-plus years of data engineering experience. You will build Snowflake ingestion and transformation pipelines, model curated datasets, and support analytics and AI use cases. The work includes greenfield platforms, legacy migrations, governance, data quality, and cost management.
Key Responsibilities: Design layered Snowflake pipelines for batch and near-real-time ingestion
Build SQL and dbt ELT transformations using incremental processing
Model datasets for BI, analytics, and machine learning teams
Tune warehouses, clustering, queries,



and credit spend
Implement quality, lineage, observability, governance, and security controls
Requirements: Four-plus years in data engineering and two-plus Snowflake production years
Advanced SQL, solid Python, and hands-on dbt experience
Cloud experience with AWS, Azure, or GCP
Orchestration experience with Airflow, Dagster, dbt Cloud, or Azure Data Factory
Git workflows, CI/CD, data modelling, and Snowflake performance knowledge
Apply Snowflake, SQL, Python, and dbt expertise to enterprise data engineering with Augmented in Toronto.

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📌 Snowflake Data Engineer Toronto (Ontario)
🏢 Augmented
📍 Ontario