Top Python Jobs in Toronto

The Data Engineering Lead oversees the design and implementation of data systems, ensuring performance and governance while mentoring junior engineers.

The role involves designing, building, and deploying AI applications, integrating OpenAI solutions, and ensuring regulatory compliance in financial services.

Lead SOX compliance and internal audit transformation using AI-driven automation. Design, automate, and optimize financial reporting controls while collaborating with stakeholders for compliance and efficiency enhancement.

Lead Opendoor's IT SOX program, manage technology audits, implement automated controls, and partner with teams to enhance risk management.

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.

Mobile Software Engineer Intern will collaborate on the development of mobile applications, ensure quality through testing, and contribute to new features within a team environment.

The Inbound Product Manager will lead product strategy, communicate priorities, and work across teams to develop high-quality products, focusing on ICM models with Varicent and leveraging AI.

As a Mobile Software Engineer Intern, you will collaborate on mobile app development, contribute to testing and integration, and enhance user experiences across platforms.

As a Software Engineering Intern, you will collaborate with engineers, learn best practices, and contribute code to various projects at MongoDB.

This role involves collaborating to improve game metrics, analyzing player behavior, designing ETL pipelines, and ensuring data integrity to enhance user experience.

As a Data Analyst at Zynga, you'll enhance gameplay through analytics, A/B testing, and develop ETL pipelines to manage player data effectively.

As a Database Reliability Engineer IV, you will design data storage systems, develop best practices, enhance tools for database interaction, and provide lifecycle support while collaborating with the engineering team.

Lead game analytics teams to transform player data into strategies for enhancing engagement and revenue across key titles. Manage projects, mentor analysts, and collaborate with product leaders for decision-making.

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.

Manage network infrastructure and performance, support servers and backups, ensure security compliance, and participate in continuous improvement efforts.

As a Senior DevOps Engineer, you'll implement and maintain scalable AWS cloud infrastructure, manage CI/CD pipelines, and enforce security practices while collaborating with cross-functional teams.

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.

Assist with software and automation development, testing, and data analysis during a summer internship while collaborating with engineers.

As a Senior Machine Learning Engineer, you'll design and deploy ML models to prevent fraud, enhance safety, and support financial services at Block.

As a GTM Full Stack Engineer, you'll develop applications, enhance automation, and collaborate across teams while guiding junior developers.

As a Product Engineer at Dropbox, you will enhance Dropbox Products, mentor junior engineers, and ensure continuous service operations while collaborating with cross-functional teams.

As a Staff Fullstack Software Engineer, you'll optimize user monetization systems at Dropbox, leading technical strategies for checkout and subscriptions while mentoring engineers.

As a Senior Backend Product Software Engineer at Dropbox, you'll enhance products through collaborative tech development, mentoring, and continuous service operation.

Design and maintain ML pipelines and data pipelines, optimize fraud detection models, collaborate with teams, and ensure data quality for high-scale applications.

As a Staff Machine Learning Engineer, you will design and develop ML systems to combat fraud by building data pipelines, integrating data sources, and ensuring high-quality model performance while collaborating with teams.