On-site Senior Data Engineer, Toronto
Core
Design, build, and maintain production ETL/ELT pipelines and data integrations to support analytics, AI systems, and internal tools.
Role type
Senior Data Engineer
Builds
Production data pipelines, data stack integrations (APIs, warehouses, orchestration), and data/contextual pipelines for AI and agentic systems
Domain
Cloud data engineering, AI/ML data infrastructure
Deliverable
production ML models | product features
Required skills
Python, SQL, ETL/ELT pipeline construction, cloud data warehouses (Snowflake), orchestration tools (Airflow), data quality monitoring, AWS (ECS, Lambdas, RDS), API integrations
Preferred skills
Airbyte, DBT, LLMs, agentic systems, AI data pipelines, startup environment experience
Technologies
Airflow, AWS, Snowflake, dbt, Python, SQL
Responsibilities
Take ownership of the health, reliability, and performance of production data pipelines; Construct, maintain, and troubleshoot ETL/ELT pipelines supporting analytics and AI systems; Design and maintain integrations throughout the data stack; Enhance and support AI and agentic systems by developing robust data pipelines; Collaborate with data science, product, and engineering teams; Continuously improve infrastructure to avoid failures and scale
Seniority
Senior, hands-on IC
