Top Data Jobs in Toronto

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

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

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

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.

The role involves providing data engineering support, managing data operations, enhancing data pipelines, and administering Snowflake, while adhering to KPIs and improving processes.

As a Growth Data Analyst, you'll analyze product performance, customer behavior, and trends, creating insights to inform product strategy and improve customer journeys.

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.

Lead the Data Software Engineering team, developing a data platform for real-time player experiences. Collaborate across functions to drive data-driven insights and operational excellence.

As a Data Engineer at Afresh, you will develop data pipelines, improve integrations, and streamline data processing to combat food waste.

The Data Engineer develops and maintains data pipelines, supports analysts, and builds solutions for data processing and analysis in a collaborative environment.

In this role, you'll lead the development of data-driven AI solutions in commerce, collaborating with scientists and PMs, running experiments, and building analytical tools.

Lead architect and development of AI-driven data infrastructures. Design data pipelines and systems for ML model training and semantic search capabilities.

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 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 Analyst will partner with teams to build data pipelines, analyze data, create dashboards, and deliver actionable insights to drive business decisions.

The Guidewire Data Engineer will design schemas in Snowflake, develop ETL processes, optimize SQL queries, and integrate Guidewire with data platforms.

As a Data Architect, lead data architecture initiatives, design data platforms, develop ETL processes, and ensure data quality while mentoring junior team members.

The Product Manager will define roadmaps and enhance financial data products with a focus on private market content, collaborating with engineering and design teams.

Autodesk seeks a DevOps Developer to enhance cloud data platform components, ensuring reliable service and collaborating with product teams in a hybrid role.

Lead and mentor teams in data science and analytics to deliver financial metrics and optimize risk management, collaborating across departments.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

Seeking a freelance technical writer for data infrastructure and engineering workflows. Responsibilities include translating complex concepts into digestible content and collaborating with SMEs for accurate communication.

Lead the development and maintenance of PHIL's data pipeline, overseeing data services and API for client-facing apps, ensuring data quality, and collaborating with teams.

Lead the Connected Data team at MaintainX, driving the roadmap for machine data connectivity from various sources, collaborating with AI/ML and engineering teams, and ensuring effective product solutions and user value realization.

The Data Integration Architect leads the design and implementation of ETL architectures and data pipelines, optimizing resource use and ensuring scalability for analytics and machine learning across the organization.