Top Data Engineer Jobs in Montreal

Design, implement, and manage data pipelines and ETL processes; build and maintain data models; ensure data quality, security, and compliance; optimize databases; troubleshoot data issues; and collaborate with cross-functional teams.

The Tech Lead, Data Engineer will design and implement CMG's Medallion 2.0 data platform, collaborating with teams to ensure optimal data architecture and quality.

Design and build data architectures and ETL pipelines, collaborate with stakeholders and data scientists, and drive data innovation while maintaining data quality and security.

Lead design and implementation of shared, reusable data models and a certified metrics layer. Standardize pipeline patterns, CI/CD, and governance; modernize orchestration and observability; partner with Data Science, Infrastructure, and Product to deliver reliable analytics pipelines and enable AI-native data development.

The Intermediate Data Engineer designs, maintains, and optimizes scalable data pipelines and platforms, ensuring data accuracy and reliability for analytics and reporting, while collaborating with cross-functional teams and stakeholders.

The Geospatial Data Engineer will develop geospatial data and AI/ML pipelines, manage data sources, perform analyses, and automate processes while collaborating with teams to contribute to environmental sustainability and drive insights from GHG emissions data.

The Data Engineering Developer will design, develop, and deliver secure data flows, implement best practices, and grow the data engineering practice within a team.

The Staff Data Engineer will design and implement scalable data pipelines, mentor junior engineers, and enhance data system performance and architecture.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

The Guidewire Data Engineer will design schemas in Snowflake, develop ETL processes, optimize SQL queries, and integrate Guidewire with data platforms.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

Build and maintain production data pipelines (ingress/egress) into BigQuery, implement data quality/freshness checks and monitoring, maintain ingestion frameworks and dbt source/staging layers, troubleshoot pipeline issues, document systems, and help productionalize ML pipelines and event-driven data processes while collaborating with finance, revenue, and analytics teams.

The Senior Data Engineer will design and implement a scalable Data Lakehouse, ensuring data quality and compliance, while collaborating with stakeholders on governance and security initiatives.

Join Quora's data infrastructure team to build and maintain data lakes, pipelines, query engines, and dashboards. Work on scalability, cost and performance improvements, participate in planning and on-call rotations, and contribute to tooling and reliability. Mentorship and training provided for new graduates.

Design, build, and maintain scalable data systems and pipelines; ensure SLOs and reliability; partner with Product, Sales Ops, and Finance to deliver analytics; support self-service tooling; contribute to data architecture, testing, and documentation.