Build educational data models and semantic layers as a Staff Analytics Engineer based in Canada, working fully remotely. Use SQL, dbt, and Snowflake.
This Staff-level position owns analytical architecture supporting millions of students and educators. You will create reusable models, slowly changing dimensions, and reliable datasets for student performance and adaptive learning. Your work connects data engineering with reporting, business intelligence, and operational decisions.
Key Responsibilities:
- Develop reusable analytical models and semantic data layers
- Maintain dimensional models for changing educational structures
- Deliver datasets supporting student performance analysis
- Improve deployment, testing, automation, and data reliability
- Translate requirements into scalable data solutions
Requirements:
- 8+ years in software, data, or analytics engineering
- 5+ years specializing in modeling or contemporary ELT/ETL
- Strong Kimball dimensional modeling knowledge
- Advanced SQL and extensive production dbt experience
- Experience with semantic platforms, Airflow, and Snowflake
Bring analytical modeling, semantic layer, and data architecture expertise to systems supporting meaningful education technology insights.