Top Data Jobs in Toronto

You will collaborate on integrations, maintain high code quality, and troubleshoot to ensure reliable blockchain data for staking products.

Design and maintain backend services and cloud provisioning solutions while mentoring team members and providing technical support.

Lead and develop the Data Loss Prevention Team, establishing strategy and overseeing implementation of DLP tools to enhance security and efficiency at Coinbase.

Design and implement next-generation crypto data systems, manage project priorities, mentor team members, and write high-quality code for Coinbase's Asset Data Platform.

Lead a Data Engineering team to build Mastercard's global marketing data platform, focusing on data quality, governance, and developing scalable data solutions.

Lead the design and deployment of scalable ML and data pipelines. Collaborate across teams, optimize infrastructure, and mentor engineers.

As a Data Engineer Intern, you'll support data teams by defining metrics, ingesting data, ensuring data quality, and generating insights while working under a Data Engineering Manager.

Analyze datasets using SQL and Python, evaluate experiments, partner with ML engineers for model development, and communicate insights to stakeholders.

The Sales Engineer will lead technical sales aspects, demonstrate AI capabilities, design solutions, and guide customer strategy for AI deployment.

The Data Analyst will develop insights and dashboards on customer behavior, collaborating with cross-functional teams to enhance product usage analytics and drive strategic improvements.

The Data Engineer will develop and manage data pipelines, collaborate cross-functionally, support project execution, and adhere to cloud governance practices in a hybrid work environment.

As a Senior Data Engineer, you'll develop and maintain end-to-end data pipelines, work with various data sources, and enhance data architecture at Samsara. You'll also mentor junior members and engage with stakeholders to meet their data needs.

The Senior Data Engineer will design and maintain data solutions, build ETL pipelines, and create data models to support customer operations, driving data-driven decisions and optimizing data infrastructure.

As a Staff Data Scientist for Dropbox's AI Products, you will define the mission, guide teams, influence product direction, and work with cross-functional teams to drive AI/ML capabilities.

The Senior Data Engineer develops data strategies, designs data pipelines, ensures data accuracy, and provides support for ML engineers. They collaborate across teams to enhance cybersecurity and mitigate vulnerabilities.

Lead engineering teams to enhance retailer experiences, oversee project management, ensure software quality, and foster technical excellence.

The Senior Data Scientist will support Block's AI, Data, and Analytics team, focusing on payment analytics, A/B testing, and strategic analysis to optimize financial services.

As a Staff Data Scientist, you will lead A/B testing, reporting, and analysis for the Financial Platform, focusing on optimizing payment systems and building data products.

Looking for a Staff Data Scientist to support the Financial Platform team, focusing on A/B testing, reporting, analysis, and automation of financial services.

The role involves establishing expertise in payment rails, influencing product roadmaps, building data products, and partnering with leadership to drive data-driven financial impact.

The Senior Data Analyst will analyze e-commerce operations and pricing strategies, build reporting infrastructure, and collaborate with teams to drive data-informed decisions for revenue growth.

As a Senior Data Engineer for Customer Operations, you will develop and maintain data models, pipelines, and visualizations to support decision-making within cross-functional teams and improve customer support experiences.

Drive the evolution of scalable data systems at GitLab, architecting solutions that enhance data management for enterprise-scale growth.

The Director of Data Strategy will define and execute BMO Insurance's data vision and transformation roadmap, overseeing governance and platform innovation while driving enterprise-wide data strategy for growth and efficiency.

The Senior Data Engineer will develop data pipelines and processes in Azure, lead agile development, mentor teams, and ensure alignment with enterprise standards. Responsibilities include data warehouse design and leveraging BI tools for data visualization.