Lead analytics engineering with dbt, SQL, and Snowflake as a Staff Analytics Engineer working remotely from Canada. Shape data systems for education technology.
This senior technical role designs scalable infrastructure for analytics, reporting, and strategic decisions. You will build ELT/ETL pipelines, analytical models, semantic layers, and metrics systems. Collaboration with data scientists, software engineers, analysts, and stakeholders supports accessible, reliable data.
Key Responsibilities:

Design scalable ELT/ETL pipelines using dbt, Airflow, and SQL
Build documented analytical models and semantic layers
Optimize warehouse schemas, workflows, and metrics systems
Establish monitoring, validation, and data quality standards
Mentor engineers and influence analytics engineering strategy
Requirements:

8+ years of professional technical engineering experience
5+ years in analytics engineering, modeling, or ELT/ETL
Advanced SQL and production-grade dbt experience
Expertise in Kimball modeling and warehouse architecture
Experience with Snowflake, Airflow, Git, testing, and CI/CD
Apply your dbt, SQL, Snowflake, and technical leadership expertise to dependable analytics infrastructure serving education data.

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Staff Analytics Engineer dbt Snowflake