Top Data Jobs in Toronto

The Senior Data Engineer at ClickUp will design and maintain cloud-native data infrastructure, develop data pipelines, automate deployments, and work with cross-functional teams to enhance data solutions while mentoring peers.

The Senior Software Developer will design and build scalable APIs and distributed systems, improve operational efficiency, and mentor other engineers, focusing on automation and data infrastructure.

As a Staff Data Engineer, you'll architect secure data systems, build pipelines, enforce best practices for sensitive data management, and mentor teams across Tonal.

Drive causal and machine learning analyses to measure product feature impacts, develop KPIs, and create visualizations while collaborating with cross-functional teams.

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

Seeking experienced Data Engineers to design and optimize real-time and batch data pipelines, leveraging cloud technologies for scalable data solutions.

The Data Engineering Manager will lead a team to design technical solutions, support career growth, and improve business insights using data engineering practices.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, collaborate with teams, and uphold data governance at Mozilla.

Develop and implement AI risk assessment and pricing frameworks by evaluating AI models, creating rating tables and pricing models, collaborating with underwriters, building Python-based analytical tools, and researching emerging AI risks and mitigation strategies.

Looking for a Data Engineer experienced in Dataiku to design and maintain data pipelines and infrastructure, ensuring data flow and integration across teams.

As a Data Scientist, you will develop analytical and machine learning solutions for credit risk, fraud detection, and customer segmentation, utilizing large datasets to drive insights and decision-making.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

Lead the design and scaling of Serve's robotics data infrastructure, managing the lifecycle of data and mentoring engineers to enable real-time analytics and operations.

The contractor will finalize the implementation of the VIA system, integrate data from Concur, develop reporting dashboards in Power BI, and collaborate with stakeholders.

The Financial Data Operations Manager leads data operations teams, ensures SLA compliance, manages client relations, and oversees financial instrument data processing and governance.

The role requires developing solutions using IBM DataPower, with a focus on creating WSP, XFW, MPGW, and managing certificates and encryption. Candidates should have strong skills in troubleshooting and working with various DataPower devices.

The Senior Full Stack Engineer will drive product improvements, lead technical projects, develop backend solutions, optimize performance, and mentor other developers while collaborating with cross-functional teams.

The Big Data Engineer will design and maintain data pipelines using PySpark on Databricks, optimize performance, ensure data quality, and collaborate with data scientists.

The Senior Data Scientist will develop and validate marketing mix models, analyze data, automate workflows, and communicate insights to clients.

Design and maintain scalable data pipelines using PySpark on Databricks. Optimize Spark jobs, ensure data quality, and collaborate with data scientists.

Lead and manage a diverse engineering team on the Data Platform, focusing on scalable infrastructure, collaboration across teams, and operational excellence.

The Associate Director of Data Sciences drives SOTI's AI and data strategy, develops AI capabilities, and mentors teams to enhance product efficiencies.

The Manager of Data Operations will lead a team to ensure the reliability and scalability of data platforms, enforce operational standards, and implement CI/CD practices. Responsibilities include monitoring data quality, incident management, and collaborating with various teams to enhance data operations.

The Sr Consultant role focuses on leading client projects, managing data analysis, and developing the team's skills, particularly in Workday technologies and reporting.

The Senior Data Architect will design data architecture and integration workflows for PM2PA, focusing on optimizing collaboration and ensuring data quality within Oracle EBS and cloud environments.