As of November 7, 2026, Jobsy lists 9 staff data engineer jobs in Canada. The most active employers are Coalition, Inc., Cohere and hireVouch. Skills often requested: data engineering, apache airflow, python and infrastructure as code.
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10+ YOECandidates need 10+ years building production data pipelines, hands-on Dagster or a similar orchestrator, strong Python and Google Cloud skills, and system design experience. Pub/Sub, event-driven design and mentoring engineers are also expected.
Dagster, Airflow, Prefect, Python, Google Cloud, Pub/Sub
Cohere: Cohere is the leading security-first enterprise AI company.
10+ YOECandidates need 10+ years in data engineering or analytics platforms, with a strong record leading data platform teams and real hands-on experience before management. Production experience with BigQuery or Snowflake, Airflow, Terraform and dbt-style data modeling is required, along with governance exposure (IAM, VPC service controls) and genuine interest in AI.
BigQuery, Airflow, dbt, Terraform, Looker, Cloud Run
Candidates need Staff-level experience designing and delivering complex production systems, strong data architecture and pipeline skills, and strong SQL plus Python, Scala or Java. Experience with cloud data platforms, data quality and mentoring engineers is also required.
Coalition, Inc.: Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes.
9+ YOECandidates need 9 to 12 years of experience running production data platforms, deep expertise in Snowflake and dbt, strong Python and SQL skills, and experience with batch and streaming pipelines. Candidates also need technical leadership experience, including influencing architecture and mentoring engineers.
5+ YOECandidates need 5+ years as a data engineer (Staff roles typically 8+ with technical leadership), strong SQL and Python or Scala, and experience with modern pipeline and warehouse tools. They also need cloud and infrastructure-as-code knowledge and comfort building processes in an early-stage startup.
10+ YOELife360 needs 10+ years with high-volume data infrastructure, strong skills in Databricks, AWS, Spark, Airflow, SQL and Python, and daily use of AI development tools. Experience with data quality frameworks and Terraform is also expected, along with a BS in CS, engineering or math or equivalent hands-on experience.
Candidates need experience evaluating or migrating Customer Data Platforms and privacy-compliant tracking with consent management. They also need strong JavaScript, TypeScript and SQL skills, and experience with identity resolution or cross-domain attribution.
8+ YOECandidates need 8+ years in data or analytics engineering, a bachelor's degree in a related field, and hands-on skill with BigQuery, dbt, Airflow, Python and SQL. Strong communication and the ability to lead technical projects across teams are also required.
Jobber: The company continually ranks as one of Canada's fastest-growing and most innovative companies by Canadian Business and Macleans, The Globe and…
Candidates need deep data engineering experience with batch and real-time pipelines, warehouses and dimensional modeling, plus AWS, infrastructure-as-code and technical leadership skills. Experience mentoring teams and working across domains is also needed.