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.

As a Senior Software Engineer, you will design and implement backend components for a distributed vector database, optimize performance, and collaborate on real-time analytics systems.

The Senior Systems Engineer will manage technical relationships, oversee pre-sales evaluations, and collaborate with engineering to define product requirements. They will also develop sales strategies and provide customer proposals while demonstrating expertise in storage products and architectures.

The Account Executive will drive sales growth by developing business with enterprise customers, managing relationships, and delivering proposals aligned with their needs, while collaborating with channel partners.

As a Business Development Intern, you will support acquisition activities by validating prospect data, conducting market research, and aiding analysis for software company acquisitions.

The Senior Software Engineer will develop and enhance ClickHouse's Python connector and SDK ecosystem, focusing on integration with orchestration and transformation tools, while engaging with the open-source community and driving AI/ML integration strategies.

As a Senior Software Engineer in Data Acquisition, you'll design and build scalable data ingestion pipelines, ensuring performance, quality, and governance across various data domains and ingestion patterns.

Perform accurate typing and basic computer tasks from home, including emailing, downloading/uploading files, managing multiple projects to schedule, and working independently to complete assigned data-entry tasks.

As an Android Engineer, you'll enhance automated tools for analyzing APKs, improve dynamic analyzers, and collaborate on security checks for Android applications.

The Principal Engineer, Data Solutions leads technical standards in data modeling and analytics, mentors team members, solves complex data problems, and develops scalable data solutions, focusing on hands-on coding and code quality.

Lead initiatives in data integration, engineering data solutions, building ML model pipelines, and coaching junior resources while ensuring high standards and best practices.

As a Senior Data Scientist, you'll integrate Vision Language Models into analytics systems, optimize performance, and collaborate across teams to develop computer vision features.

The Full-Stack Developer will design, develop, and maintain integrations, APIs, and applications for MaintainX, focusing on high-quality, reliable code and collaboration with teams.

As a Software Engineering Consultant, you will design, build and own the lifecycle of scalable software systems while collaborating with clients in various technical domains.

Lead data engineering strategy and solution design for Snowflake-based platforms. Build and maintain high-performance data pipelines (dbt, SQL, Python), ensure data quality and governance, perform root-cause analysis, lead agile delivery, mentor engineers, collaborate with architects and QA, produce technical documentation, and support hiring and onboarding activities to enable analytics and AI initiatives.

Design, build, and operate scalable metadata harvesting pipelines and connectors across cloud and on-prem platforms. Integrate with Collibra/Data Compass and other catalogs, extract lineage/classification/operational metadata, implement reconciliation, monitoring, security, and CI/CD practices, and mentor engineers to support enterprise data discovery and governance.

Design, build, and govern Float's dashboards, metrics, and self-serve BI. Translate business questions into durable data products, validate dbt models, reduce ad-hoc requests, and use AI to scale analysis and accessibility for Finance, RevOps, GTM, and leadership.

As a Senior Software Engineer, you will develop core data pipeline components for an AI-native data warehouse, oversee feature delivery, and ensure data quality and reliability.

As a Staff Software Engineer, you'll design and deliver a core data platform, focusing on architecture, pipeline components, and AI integration. This hands-on role emphasizes creating production code and establishing technical standards within a small team.

The Founding Data Engineer will manage the company's data models, ensure metric integrity, and work with various teams to deliver reliable metrics and reporting systems.

Develop and manage full stack big data applications, provide technical leadership, and collaborate with cross-functional teams to ensure integrated system processes.

The Principal Software Data Engineer will design, develop, and maintain data platforms and pipelines, mentor teams, and drive technical excellence in data solutions, focusing on microservices architecture and scalability.

The Staff Data Scientist will lead data science projects, develop machine learning models, and align solutions with business goals while mentoring team members.

The Lead Data Scientist will design and implement data-driven solutions, lead a team of data scientists, and collaborate across functions, while managing machine learning pipelines and mentoring junior staff.

Build scalable ML data pipelines for Waabi's autonomous driving platform. Design, optimize, and manage datasets and training processes while collaborating with scientists and engineers.