Top Data Engineer Jobs in Toronto

Lead design and implementation of a next-generation data layer for agentic AI: architect hybrid Snowflake/Kinetica/NoSQL environments, define multi-tenant schemas and knowledge graphs, oversee DBA/governance and performance engineering, establish ETL/ELT (CDC/streaming/batch) patterns, and serve as the primary technical client liaison.

The Data Engineer will design and deliver scalable streaming data pipelines, mentor team members, ensure data governance, and implement technical excellence in real-time data solutions, fostering collaboration across teams.

Design and implement data pipelines, manage access controls in Snowflake, and ensure compliance through automation. Collaborate with cross-functional teams to optimize data workflows.

The Senior Data Engineer at League will develop and support data services and software products, ensuring performance and security of data infrastructure while collaborating with cross-functional teams.

The (Senior) Analytics Engineer will develop SQL transformations, design data models, and collaborate with cross-functional teams to support business analytics.

As a Data Engineer, you will develop data infrastructure, build data pipelines, and ensure data quality while supporting data-driven decisions.

Design and develop data pipelines and applications for Growth, Sales, and Marketing functions at Stripe, ensuring data integrity and influencing project outcomes.

The Senior Frontend Engineer will drive initiatives in data engineering, mentor junior teammates, and contribute to product vision using various technologies.

As an Analytics Engineer, you will improve data access through modeling and stakeholder enablement, focusing on reliable data and semantic layer design.

Lead and mentor a team of developers, oversee cloud product delivery, drive engineering practices, and ensure high-quality standards while contributing to cross-functional initiatives.

Lead the development and support of data and AI products, translating business requirements, directing technical designs, and mentoring teams.

Lead end-to-end customer data implementations, build automated ETL using PySpark and Snowflake, translate business requirements into scalable solutions, define data validation frameworks, troubleshoot ingestion and production issues, mentor junior engineers, and ensure data security and regulatory compliance while driving implementation improvements.

Lead complex, enterprise data implementations end-to-end, act as technical escalation, design scalable ingestion/onboarding solutions, establish playbooks and tooling, drive automation, mentor implementation engineers, and represent ODAIA with customers.

Senior Data Engineer responsible for enterprise data modeling, building and maintaining AWS-based event-driven pipelines, optimizing large-scale Snowflake and Aurora Postgres systems, developing Python data pipelines, and collaborating on infrastructure and CI/CD to ensure scalable, production-grade data platforms aligned to ET time zone.

As a Senior Data Engineer, you'll maintain data integrations, resolve technical issues, communicate with stakeholders, and improve support processes.

The Senior Data Engineer will scale the data ecosystem, construct data models, build systems for KPI tracking, and ensure data safety.

As a Data Engineering Developer II, you'll design, develop, and deliver secure data flows, implement best practices, and lead practice growth within the Data Lab.

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

The Senior Data Engineer will lead the design and development of applications and data pipelines for cybersecurity, using tools like Microsoft Power Platform and Azure. Responsibilities include backend engineering, AI implementation, automation, and stakeholder support through data modeling and dashboards.

The Senior Data Engineer will build and maintain Azure data pipelines, ensure data quality, collaborate with teams, and mentor junior engineers in a hybrid environment.

Design and develop eBay's Core Data Platform, focusing on building scalable distributed systems for data ingestion, governance, and analytics. Collaborate across teams to ensure reliability and enhance data processing capabilities.

The role involves designing, developing, and delivering secure data pipelines while providing technical leadership and implementing best practices in data engineering.

The role involves analyzing, designing, and delivering secure data pipelines, leadership in data engineering practices, using Agile methodology, and collaboration with analysts and architects.

Oversees data management, ensures quality and security, implements cloud architecture, and builds data pipelines while collaborating with stakeholders.

Develop and implement data integration solutions for Market Risk applications, focusing on ETL processes and data pipelines to support risk analytics.