Top Data Jobs in Toronto

The Senior Data Engineer will build and maintain datasets, create scalable data pipelines, and collaborate with teams to enhance data utility for decision making in a fast-paced environment.

As a Staff Software Engineer, you will develop and maintain data pipelines on a scalable SaaS platform, focusing on performance and analytics related to large datasets and ETL processes.

The Data Analyst will work on analytics projects, develop BI solutions, collaborate with stakeholders, and analyze data trends and KPIs to drive business decisions.

As a Staff Data Engineer, you will design distributed data systems, build scalable data pipelines, and ensure performance optimization and data governance.

The Staff Data Engineer will design large-scale data systems, create data pipelines, and implement performance optimizations using distributed systems and various technologies, while collaborating with a remote team.

As a Staff Data Engineer at Cloudbeds, you will design and implement scalable data systems using various technologies, optimizing performance and ensuring data security while collaborating with cross-functional teams to drive innovation.

In this role, you'll design and implement large-scale distributed data processing systems, creating robust data pipelines while ensuring scalability and security for processing billions in bookings.

The Senior/Lead Data Scientist will develop advanced forecasting models, collaborate with business partners, and guide a team in deploying analytical solutions.

As a Senior Data Scientist, you will analyze complex datasets, form hypotheses on AI model performance, and collaborate with ML engineers to improve AI evaluation systems.

Build and optimize data pipelines for user vote data, ensuring data quality and scalability to advance AI model evaluations. Collaborate with teams to deliver insights and analytics.

The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.

The Staff Data Engineer will lead the technical vision and architecture of data engineering, develop pipelines, and mentor junior engineers while working with cloud environments and various data tools.

Lead a data development team to enhance data products using cloud-based data warehouses. Collaborate with various teams to meet data needs and maintain code quality.

Manage complex, multi-phase IT projects, focusing on Data Engineering and Analytics, ensuring timely delivery and alignment with business goals.

The role requires developing solutions using IBM DataPower, with a focus on creating WSP, XFW, MPGW, and managing certificates and encryption. Candidates should have strong skills in troubleshooting and working with various DataPower devices.

This role involves developing and maintaining data pipelines, collaborating with various teams, and leveraging AI for data-driven insights to support business operations.

As a UX Researcher, you will lead mixed-method studies, collaborate with teams to prioritize research needs, and disseminate insights to shape product strategy and user experiences.

The Account Executive is responsible for generating revenue, managing customer relationships, and developing business strategies with enterprise-level clients.

As a Data Analyst in the Office of the CEO, you'll analyze data to drive Clover's outcomes, focusing on clinical and financial performance, while supporting AI initiatives. You'll build new analyses, transform reports into data assets, and collaborate with a team to improve insights and decision-making.

As a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

As a Data Scientist in Ads Reporting at Discord, you will build reporting infrastructure for ads performance, develop dashboards, and empower stakeholders with data insights.

Lead data science strategy for Discord's ads business, leveraging first-party data to enhance ad products and drive performance through cross-functional collaboration.

Develop and implement fraud detection models using machine learning techniques, analyze data for patterns, and optimize existing models for risk management.

The Senior Software Engineer will develop the data platform, build services, improve operational excellence, and mentor other engineers in a data-intensive environment.

Collaborate with teams to build data pipelines, maintain infrastructure, oversee data integrity, and adapt to new technologies as part of the Data Engineering team.