Top Data Jobs in Toronto

The Senior Data Engineer will lead the design and implementation of data architecture solutions, develop data pipelines, and optimize database performance while ensuring integration and adherence to governance standards.

As a Power BI Data Engineer, you will design and maintain Power BI reports, optimize ETL processes using Azure Data Factory, and ensure data quality and governance while collaborating with stakeholders.

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.

Data Engineers at Datatonic optimize data solutions using Google Cloud technologies, build scalable data pipelines, and collaborate with analytics teams to deliver impactful solutions.

Define product vision and roadmap for data and analytics services, manage product lifecycles, engage stakeholders, and drive product innovation.

Lead product strategy for OpenLab ECM & future data platform products, managing product life cycle and commercialization, focusing on customer challenges and value propositions.

The Data & ML Platform Engineer will design and implement data and ML components, optimize data ingestion, support architecture transformation, and drive automation and improvement of workflows.

The Senior Data Analyst will analyze data sets, manage IWMS, develop dashboards, and support strategic decision-making related to space management.

The Engineering Manager will lead and scale the data engineering teams, oversee the data platform, and ensure architectural integrity while fostering team growth and collaboration.

As a Senior Data Scientist, you will design AI solutions, lead NLP implementation, and mentor junior staff while transforming data into actionable insights.

As Director of Data Science, you will lead predictive solutions and analytics for marketing, sales, and product development, mentor teams, and establish data-driven strategies aligned with business objectives.

The Sr. AI Engineer will deploy and manage machine learning models, integrate AI with BI systems, and transform data into actionable business insights, impacting strategic decisions.

As a Research Scientist Manager, you will lead a global team in foundational research, focusing on AI systems, LLM training, data-centric ML, and innovation through collaboration, experimentation, and publication of findings.

As a Data Engineer, you will design and implement scalable data pipelines and solutions, collaborate with teams, and apply new technologies in an Agile environment.

The Data Engineer will design scalable data pipelines, manage data solutions, collaborate with teams, and ensure project delivery on time while applying new technologies.

Responsible for building and maintaining reliable infrastructure, automating processes, ensuring security compliance, and participating in incident response as a Staff Site Reliability Engineer (SRE).

The role involves researching and applying advanced modeling techniques in advertising technology, experimenting to validate results, and mentoring junior team members.

As a Staff Data Scientist, you will lead high-impact initiatives, develop algorithms, design experiments, and influence company strategy while mentoring other data scientists and collaborating cross-functionally.

Lead and drive AI strategy and data science solutions, providing technical leadership, guiding business partners, and overseeing complex projects.

The Data Science Lead will develop marketing mix models, conduct statistical analyses, automate data workflows, and communicate insights to clients, utilizing advanced analytics techniques in a cross-functional team.

As a Senior Software Engineer, you will own data framework integrations, contribute to high-performance database engineering, and enhance developer experience in JVM-based environments.

The Developer will design, develop, and maintain interactive dashboards, manage data integration, and analyze performance metrics to provide actionable insights.

The Principal Data Engineer will lead the design and implementation of streaming data pipelines, drive technical direction, mentor engineers, and ensure best practices in data governance and observability, focusing on real-time and batch data solutions.

The Data Analyst will design data structures, map data flows, and build scalable models while partnering with stakeholders to provide reliable insights and tools. Responsibilities include analytics engineering, metric development, and data exploration using SQL and BI tools.

Review AI-generated Java code evaluations by data annotators, ensuring quality standards, correctness, and functionality while providing feedback on ratings.