Top Data Jobs in Toronto

The Data Reporting Supervisor leads regulatory reporting operations, ensuring compliance, data quality, and effective team management. They collaborate across departments, enhance reporting processes, and serve as a subject matter expert in regulations and reporting requirements.

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.

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

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

The Product Manager for Imogen Data will define product vision, collaborate with engineering, prioritize investments based on user needs, and present to stakeholders.

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

The Data Conversion Engineer will manage ETL processes, develop data scripts, ensure data quality, and collaborate with teams to migrate data into utilities' systems.

The Senior Data Scientist will design and maintain metrics, reports, and dashboards, develop algorithms, conduct data analysis, and collaborate with teams to enhance business decisions.

Lead product analytics and experimentation: run proactive funnel and cohort analyses, design and analyze A/B/multivariate experiments, build KPIs, automated dashboards and models, and partner with product, marketing, data, and engineering to inform product releases and engagement strategies.

Lead the design and development of scalable data acquisition systems, architect core components, and mentor engineers while collaborating across teams to fulfill data integration needs.

As a Software Engineer 2 - Data Acquisition, you'll design and build data ingestion pipelines, ensuring quality and performance across multiple data domains while participating in code reviews and collaborating with data consumers.

The Google Cloud Data Engineer will design, build, and improve partner-facing web portals, contribute to the full software development lifecycle, and collaborate with cross-functional teams for high-quality software delivery.

As a Data Scientist II, you'll develop data-driven solutions using machine learning, collaborate cross-departmentally, and maintain data mining tools to deliver actionable insights.

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.

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

Design and build data architectures, oversee ETL/ELT pipelines, collaborate with stakeholders to optimize data usage, and implement data quality frameworks.

Perform French-Canadian language annotation and rating tasks for AI training data with high accuracy, meet deadlines, research as needed, and communicate in French-Canadian and English. Temporary, part-time freelance role (15–20 hrs/week) with NDA requirement.

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 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 Senior Data Scientist develops and implements machine learning models for cybersecurity, conducting data analysis, collaborating with teams, and ensuring model accuracy.

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.

As a Senior Site Reliability Engineer, you'll enhance the reliability and scalability of data infrastructure, manage cloud solutions, automate deployments, and ensure compliance and performance monitoring.

As a Data Analyst for Risk and Operational Performance, you'll analyze data, design dashboards, and drive insights to enhance decision-making and efficiency across teams.

The Senior Manager of Data Management will implement and oversee data controls for Customer Risk Rating, lead a team, and ensure compliance with AML standards while managing data-related issues and metrics reporting.

Seeking an experienced Data Engineer to design and maintain data pipelines and infrastructure, collaborating with data scientists and stakeholders.