Top Data Jobs in Toronto

The Senior Software Engineer will design and maintain data infrastructure, optimize data systems, and work with cross-functional teams to deliver innovative solutions.

The Data Analyst will transform complex production and payroll data into actionable insights, working with various teams to define metrics, track performance, and enhance data quality while fostering independent data exploration across the organization.

The candidate will design and deploy forecasting models, handle large-scale data processing, and work with stakeholders to enhance demand planning analytics.

The Senior Data Analyst will enable strategic decision-making through data analysis, reporting, and collaboration with stakeholders to ensure high-quality data integrity.

The Data Analyst will develop reports, analyze data, and present insights to support business functions, collaborating with stakeholders to gather requirements and ensure effective decision-making.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

Responsible for transforming complex data into actionable insights, building dashboards, and applying statistical rigor to financial planning while collaborating with Finance teams.

Design, build, and optimize core components of a high-performance database system, focusing on internal workings and performance improvement.

Lead the Data Science and Analytics team to optimize vehicle supply, enhance rider experience, and improve operational efficiency through machine learning and data analysis. Oversee A/B testing and promote a data-driven culture while mentoring team members.

As a Senior Technical Product Manager for the Data Platform, you will define the technology vision and roadmap, own the Data Platform strategy, collaborate with teams, and advocate for data capabilities to drive innovation.

As a Senior Data Engineer, you will build scalable data pipelines, manage cloud infrastructure, and support analytics and data science teams, leveraging various technologies to deliver impactful solutions for clients.

Manage AI and ML solutions, leading model development and deployment while mentoring engineers and collaborating with cross-functional teams.

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.

The Robot Data Operations Analyst will control robots, evaluate performance, provide quality assurance, and document observations safely in an R&D setting.

The AI-First Data Scientist will design and deploy ML solutions, conduct causal analysis, and partner with business leaders to drive AI integration into decision-making.

Data Engineers at Datatonic optimize data solutions using Google Cloud technologies, build scalable data pipelines, and collaborate with analytics teams to deliver impactful solutions.

The Senior Reliability Engineer will enhance the reliability of data and cloud platforms, monitor workloads, optimize ETL workflows, and automate processes to support retail operations.

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 Data Analyst will analyze campaign performance, provide insights for client teams, manage target lists, and support data-driven decision-making.

Lead the strategy of League's Data & AI platform, manage product teams, drive AI innovations, and enhance personalized user experiences in healthcare.

The Principal Product Manager will define and execute the strategy for Viral Nation's data platform, focusing on data engineering, warehousing, and analytics. Responsibilities include managing the product roadmap, ensuring data quality, and collaborating with teams on technical requirements for data solutions.

As a Staff Software Engineer, you'll scale datastores, manage data migrations, ensure query performance, and design systems for event-driven architecture, while mentoring engineers and improving the data stack.

The Energy Analyst will enhance data systems for market data utilization, collaborating with engineers to improve data handling and quality assurance processes, driven by a passion for clean energy.

The role involves designing scalable data architectures, improving system efficiency, modeling data, promoting best practices, and participating in on-call rotations to resolve reliability incidents.

The Data Architect will unify data architecture across multiple SaaS products, optimize data storage, support AI initiatives, and mentor engineers, bridging strategic leadership with hands-on technical expertise.