Build Snowflake data platforms with advanced SQL and Python for Augmented in Toronto, working hybrid two to three days in office. 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, strong 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.

📌 Snowflake Data Engineer Toronto
🏢 Augmented
📍 Toronto