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 qualified 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.

📌 Staff Analytics Engineer dbt Snowflake (Winnipeg)
🏢 Jobgether
📍 Winnipeg