Top Python Jobs in Toronto

The Distinguished Engineer will lead technical innovation, mentor talent, and provide expert guidance on complex banking solutions in the cloud, ensuring excellence in engineering practices.

The Senior Technical Artist will design, develop, and support tools for artists, innovate pipelines, and solve technical issues in a collaborative environment.

The role involves helping modernize industries through IoT solutions, engaging with clients, managing implementations, and driving tech adoption. Significant pre-sales experience is required, coupled with a strong technical background in hardware and cloud applications.

The Data Engineer will develop and maintain data pipelines, ensure data quality, and collaborate with business teams to implement insightful data solutions.

As a Product Strategy Analyst Manager, you'll lead analysis and strategy development, manage a team, and optimize customer products using data insights and technical tools.

Lead analyst responsible for underwriting strategy, performing complex analysis, guiding junior analysts, and presenting recommendations to senior leadership.

The role involves designing and maintaining scalable backend systems, building data pipelines, creating an intuitive reporting UI, and mentoring junior engineers in a collaborative environment.

The Sr. Site Reliability Engineer will enhance the reliability and performance of technology platforms, design cloud-native systems, automate workflows, and support incident response strategies.

As a Senior Software Engineer at BuildOps, you will design, build, and maintain product features across frontend and backend applications while mentoring others and improving system performance and reliability.

As a Financial Analyst Intern, you will analyze financial metrics, prepare forecasts, and participate in external reporting processes, using Python for modeling.

The Staff Software Engineer will lead technical design and development of applications, mentor team members, and ensure engineering best practices within a dynamic team environment.

Lead the technical direction for a cloud-native data engineering platform, architecting data pipelines and mentoring engineers while ensuring data governance and performance optimization.

Lead a team of analytics engineers to design and deliver advanced analytics, enterprise data models, and dashboards for private equity-backed clients. Translate business needs into EDA and pipelines, manage client relationships, drive process improvements, mentor juniors, and collaborate with data engineers to ensure data integrity and actionable insights for senior client executives.

Lead multiple analytics engagements end-to-end for PE-backed companies, manage and develop analytics teams, drive technical solutions (SQL/Python, enterprise data modeling), build C-suite relationships, contribute to business development and thought leadership, and ensure engagement profitability and operational value creation.

Work as an Associate Analytics Engineer to design, develop, and maintain enterprise data models, pipelines, and dashboards for private equity-backed clients. Assist client-facing discovery, exploratory analysis, team leadership, process improvements, cross-functional initiatives, and mentor junior staff while applying data visualization, modeling, and analytics best practices.

Support analytics engineering teams to design, develop, and maintain enterprise data models, pipelines, and BI dashboards. Perform exploratory data analysis and data wrangling, produce high-quality reports for senior client executives, assist engagement managers on deliverables and project management, and contribute to process improvements, specialization, and cross-functional initiatives.

As a Site Reliability Engineer for Data Services at iManage, you will ensure data durability, optimize performance, manage upgrades, and collaborate across teams, focusing on reliability and sustainability in cloud-native environments.

As a Site Reliability Engineer, you will create middleware, automate processes, maintain cloud infrastructure, and participate in on-call rotations while driving improvements in platform security and resilience.

As a DevOps Engineer, you'll automate processes, enhance cloud platforms, collaborate across teams, improve security, and manage incidents while fostering innovation and operational excellence.

The role involves testing AI models and software, generating data, developing testing frameworks, and collaborating with internal and external partners on automotive technologies.

The Sr. Engineer will develop AI tools for system engineering, support R&D teams with technology evaluations, and coordinate R&D programs.

The Senior Site Reliability Engineer will design, optimize, and maintain MongoDB's multi-tenant distributed storage systems, ensuring reliability and operational safety while implementing automation solutions and participating in on-call support.

As a Senior Associate, Data Analyst at Capital One, you will analyze datasets to support business strategies, communicate insights, and enhance decision-making through data visualization and stakeholder collaboration.

The Product Manager for Data Products at Capital One will drive the design and operationalization of data products, prioritizing long-term roadmaps, defining metrics-driven strategies, and collaborating across teams to enhance customer experiences.

Lead Data Science projects by overseeing software development, managing teams, designing data pipelines, and optimizing business programs using advanced analytics and machine learning.