Top Data Engineer Jobs in Toronto

Design, implement, and own scalable end-to-end data pipelines and infrastructure for cloud cost, usage, and emissions data. Partner with cross-functional teams to produce analytics-ready datasets, ensure data quality and observability, set technical standards, and mentor engineers to drive cost and carbon intelligence for strategic reporting and optimization.

The Senior Data Developer will design and maintain pipelines, optimize ML models, and support scheduling intelligence for healthcare appointments.

Design and build data architectures, oversee ETL/ELT pipelines, collaborate with stakeholders to optimize data usage, and implement data quality frameworks.

As a Data Engineer at Northbeam, you will develop and maintain scalable data pipelines, optimize data ingestion, and provide technical leadership in a cross-functional team.

As a Senior Site Reliability Engineer, you'll enhance the reliability and scalability of data infrastructure, manage cloud solutions, automate deployments, and ensure compliance and performance monitoring.

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.

As a Senior Data Implementation Engineer, you will oversee complex customer implementations, build automated ETL workflows, define data validation frameworks, and mentor junior engineers while ensuring compliance with data security regulations.

As a Senior Data Engineer, you'll develop data pipelines, optimize Databricks solutions, ensure data governance, and collaborate within an Agile team to enhance Citco's data infrastructure.

As a Staff Data Engineer, you'll lead the design and optimization of data infrastructure, mentor teams, and drive strategic data solutions for analytics and operational workloads.

As a Staff Backend Engineer, you will develop complex backend solutions, focusing on the Spark-based data platform while ensuring code quality and collaborating closely with teams.

As a Staff Data Engineer, you will design and build large-scale data processing systems, ensuring data integrity and reliability while collaborating with cross-functional teams to influence architecture and technical roadmap.

Design, build, and support cloud infrastructure for real-time and batch data pipelines and ML workloads on Google Cloud. Lead architectural decisions, implement IaC (Terraform), manage CI/CD, participate in on-call support, troubleshoot production issues, and mentor data engineers to ensure secure, highly available, and governed data platform operations.

As a Senior Data Engineer at Wave, you will design and deploy components of a modern data platform, enhance AWS infrastructure, build data pipelines, and ensure data reliability and accessibility across teams, all while maintaining engagement with cross-functional stakeholders.

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.

The Principal DataOps Engineer will optimize cloud-based platforms through CI/CD automation, lead a small team, and drive data-driven decision-making across the organization.

The Data & Deployment Engineer coordinates EMS software and data pipeline deployment, manages CI/CD processes, and supports integration between data and hardware teams, ensuring project success.

Design and manage distributed data systems for processing and transforming datasets for AI model training, ensuring data quality and scalability.

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

As a Software Engineer on Glean's Data Foundations team, you'll build and scale data ingestion connectors, transforming unstructured content into structured data while ensuring system reliability and security throughout the data processing pipeline.

The role involves building scalable data platforms, designing ETL pipelines, collaborating with cross-functional teams, ensuring data quality, and mentoring others in data engineering best practices.

The Senior Data Engineer will develop and deploy machine learning models, build end-to-end ML pipelines, optimize performance, and collaborate across teams to enhance AI capabilities at ClickUp.

As a Founding Senior Data Engineer, you will build the analytics foundation, design data pipelines, track metrics, and collaborate with teams for data-driven decisions.

Lead development of core geospatial products, data-processing and annotation tools. Set technical vision for web apps, ETL pipelines, and backend services; optimize ML model orchestration; mentor engineers; collaborate with product and customers to deliver scalable, near-real-time geospatial data systems.

As a Senior Software Engineer, you will own data framework integrations, contribute to high-performance database engineering, and enhance developer experience in JVM-based environments.

Design and build scalable distributed ingestion services; maintain event pipelines and collaborate with multiple teams. Ensure system reliability and improve code practices.