Top Python Jobs in Toronto

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.

The role involves building AI-driven security systems, designing CI/CD pipelines, mentoring engineers, and applying risk management expertise in a security context.

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.

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.

The Sr. Principal Engineer will design, implement, and maintain data pipelines, ensuring data integrity and optimizing performance while collaborating with cross-functional teams.

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

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.

The Senior Financial Analyst will perform financial modeling, oversee forecasting and variance analysis, and support business decision-making through reporting and analysis.

The Principal Security Design Engineer will define and realize Hardware Security IP, focusing on design specifications, hardware IP development, and contributing to verification processes.

The Senior Software Engineer for Storage Infrastructure will build and operate advanced distributed storage systems, ensuring reliability and performance while managing code from inception to release.

As a Senior Finance Data Engineer, you will design AI-powered finance infrastructure, automate processes, and create self-service data tools for Finance, leveraging your data architecture and engineering expertise.

The role involves implementing AI and automation tools, managing marketing operations, building analytics infrastructure, and optimizing marketing technologies to enhance productivity and efficiency.

Develop and implement AI-driven automation for financial workflows, build integrations for financial systems, and ensure reliability in production data systems.

The Sr Software Engineer will enhance platform performance, develop cloud-native systems, improve CI/CD processes, and oversee deliverables while collaborating with feature teams.

Conduct control testing to assess effectiveness, manage testing activities, analyze data, and collaborate with business partners in a risk management context.

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

The Applied Scientist will develop quantitative models for pricing, demand forecasting, and risk management, utilizing statistical methods to influence operational decisions at Opendoor.

The Applied Scientist will push the boundaries of applied AI, working on ML problems, developing models, and improving pricing systems.

Develop and maintain integration projects using Ignition, manage time-series data, create dashboards, and optimize IoT connectivity protocols while adhering to safety and quality standards.