Top Data Jobs in Toronto

Join our Data team as a Data Scientist, focusing on machine learning pipelines, NLP, and building AI-powered job solutions while mentoring colleagues.

The Data Engineer will architect and implement advanced analytics capabilities, manage data pipelines, and optimize data processing using AWS cloud and various analytical tools.

The Big Data and SQL Developer is responsible for designing and implementing scalable Big Data solutions, mentoring engineers, and engaging with stakeholders, balancing technical tasks with leadership duties.

The Senior Data Scientist will collaborate on AI projects, develop scalable code, ensure software quality, and guide product research and development.

The Senior Data Scientist will measure and analyze data impact for AI products, define KPIs, shape product development, and develop analytics models to enhance decision-making processes.

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.

Design and build scalable backend services for a trading platform, focusing on data ingestion, processing pipelines, and APIs while ensuring system reliability and integrating with various teams.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

As a Data Analyst, you will optimize the reporting ecosystem, focusing on SSRS and Power BI, ensuring data accuracy and driving modern analytics adoption.

As a Senior Data Developer, you will create infrastructure-as-code pipelines, automate file processing, develop ETL solutions, and generate reports and analytics to support various departments.

Lead the design and development of scalable data acquisition systems, mentor engineers, and integrate diverse internal and external data sources. Architect platform components for high-volume data processing with a focus on reliability and governance.

The Senior Data Engineer will design and operate data pipelines, manage data models, ensure data quality, and collaborate with cross-functional teams to enhance data infrastructure.

Design, build, and maintain scalable ETL pipelines to ingest portfolio company data into a centralized data warehouse. Standardize schemas, create unified data models, ensure data quality, observability, and governance, and enable programmatic access for analytics and AI. Drive long-term, extensible architecture and onboarding of portfolio companies.

As a Senior Data Platform Developer, you'll build and maintain Geotab's machine learning and generative AI platforms, ensure system health, and support data processing initiatives.

Build and maintain end-to-end ELT pipelines, design scalable data models, create APIs for data/ML serving, and collaborate with engineering, data, and business teams to deliver core data infrastructure.

The BI Senior Business Analyst gathers and documents requirements, supports BI projects, and coaches team members in collaboration with various stakeholders.

The Associate Director of Data & AI will lead transformation programs, drive business value through AI strategies, and oversee modern data platform delivery for major enterprises.

The Lead Financial Data Analyst manages financial instrument data collection, quality control, client inquiries, and operational risk compliance, while coaching others and improving processes.

As a Data Engineer, you will build and maintain data pipelines, ensuring data quality and reliability for analytics and reporting. You'll collaborate with various teams to support data needs and monitor system performance.

As a Data Scientist in Product Analytics, you will analyze large datasets, improve user experience, conduct A/B tests, and collaborate with teams to drive product insights and customer engagement.

The Founding Data Engineer will design and build OpenArt's core data platform, ensuring data reliability, consistency, and scalability to support leadership and product metrics.

As a Growth Data Engineer, you will build and manage marketing data and attribution systems, ensuring reliable data flow and accurate measurement of acquisition efforts. The role involves collaboration across product, marketing, and data teams with a focus on optimizing campaign performance.

Lead the design and optimization of data infrastructure, focusing on scalability. Requires expertise in GCP, ETL/ELT processes, and collaboration across teams.

Lead development of data structures, analyze health data, create whitepapers, and collaborate with cross-functional teams on clinical research.

As a Senior Data Scientist, you'll analyze multi-modality health data, develop insights for models and decisions, and collaborate across teams to ensure data is clinically sound and interpretable.