Top Data Engineer Jobs in Toronto

Lead the design and management of cloud data models and governance frameworks. Collaborate with business stakeholders and engineering teams to enhance data visibility and ensure data quality within a regulated financial environment.

Seeking a Senior Data Engineer to develop and maintain data pipelines, collaborating with data science teams to deliver accurate data for business insights.

The Machine Learning Engineer / Data Scientist will build and deploy machine learning solutions, working through the ML lifecycle from problem framing to production.

As a Senior Data Platform Developer, you'll build and maintain Geotab's machine learning and generative AI platforms, ensure system health, and support data processing initiatives.

Design, build, and maintain scalable ETL pipelines to ingest portfolio company data into a centralized data warehouse. Standardize schemas, create unified data models, ensure data quality, observability, and governance, and enable programmatic access for analytics and AI. Drive long-term, extensible architecture and onboarding of portfolio companies.

The Big Data and SQL Developer is responsible for designing and implementing scalable Big Data solutions, mentoring engineers, and engaging with stakeholders, balancing technical tasks with leadership duties.

As a Data Platform Engineer Specialist, you will design and maintain robust data infrastructure on AWS, lead data pipeline development, ensure data security, and mentor junior engineers while collaborating across teams to drive data innovations.

Develop and manage full stack big data applications, provide technical leadership, and collaborate with cross-functional teams to ensure integrated system processes.

Lead applications systems analysis and programming activities, ensuring systems meet goals through enhancements and innovative solutions. Act as advisor to developers and assess risk in business decisions.

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

Design, build, and maintain scalable data pipelines and models on Databricks/Spark; create dashboards; enable AI-powered features; troubleshoot data quality and performance; drive automation and end-to-end project ownership.

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.

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.

The Senior Big Data Pyspark Developer will design, develop, and maintain enterprise software solutions, collaborating with teams to deliver high-quality, scalable, and secure applications using a variety of technologies including Java and Angular.

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

Lead design and implementation of scalable Hadoop/Spark big data platforms and pipelines, optimize cluster performance, enforce data security/governance, mentor engineers, and integrate cloud-native services for analytics and near-real-time ingestion.

The Senior Data Platform Engineer is responsible for building and maintaining data systems, ensuring reliable access and analytics, optimizing performance, and collaborating across teams to enhance data usage in real-time business contexts.

The Staff Platform Engineer will design and scale the unified data and ML platform, ensuring best practices for data ingestion, storage, and real-time serving. Responsibilities include optimizing workflows, overseeing platform components, and providing technical leadership across teams to enhance decision latency and data reliability.

As a Data Engineer, you will build and maintain data pipelines, ensuring data quality and reliability for analytics and reporting. You'll collaborate with various teams to support data needs and monitor system performance.

The Founding Data Engineer will design and build OpenArt's core data platform, ensuring data reliability, consistency, and scalability to support leadership and product metrics.

As a Growth Data Engineer, you will build and manage marketing data and attribution systems, ensuring reliable data flow and accurate measurement of acquisition efforts. The role involves collaboration across product, marketing, and data teams with a focus on optimizing campaign performance.

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.

Seeking a Sr Data & ML Engineer to lead technical efforts, drive architectural decisions, ensure engineering excellence, and map business problems to solutions within eBay's Product Knowledge team.

As a Senior Data Engineer, you will design scalable data pipelines and mentor junior engineers, ensuring high-quality code and collaborating across teams to optimize analytics solutions.