Top Data Jobs in Toronto

The Data & Analytics Engineer will manage the data infrastructure, owning pipelines, integrations, and ensuring data quality while collaborating with stakeholders to leverage data insights for decision-making.

Design and optimize data pipelines, lead machine learning feature integration, mentor junior engineers, and enforce data governance.

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

The Data Architect will lead data storage strategy and design across a multi-product SaaS platform, ensuring data architecture unification, optimizing data storage, and supporting AI initiatives while mentoring engineers for self-sufficiency.

In this role, you'll design and implement large-scale distributed data processing systems, creating robust data pipelines while ensuring scalability and security for processing billions in bookings.

The Staff Data Engineer will design large-scale data systems, create data pipelines, and implement performance optimizations using distributed systems and various technologies, while collaborating with a remote team.

As a Staff Data Engineer at Cloudbeds, you will design and implement scalable data systems using various technologies, optimizing performance and ensuring data security while collaborating with cross-functional teams to drive innovation.

As a Staff Data Engineer, you will design distributed data systems, build scalable data pipelines, and ensure performance optimization and data governance.

The Technical Data Analyst bridges Support and Engineering, ensuring high-quality products through data analysis, QA, and effective communication of technical concepts to stakeholders.

The role involves designing and implementing analytics strategies, managing tracking and reporting for ecommerce clients using GA4, GTM, SQL, and Python. The strategist collaborates with internal teams and clients, ensuring analytics support business decisions and measurement frameworks for omnichannel marketing.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

The Enterprise Data Architect will design and lead AmeriLife's data architecture, creating scalable data models and data mapping standards for analytics and AI workloads.

The Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.

Support data governance by maintaining metadata, documenting definitions and lineage, assisting data quality monitoring, classifying data, enforcing access rules, and collaborating with stakeholders to improve data literacy and compliance.

Cygnus seeks Data Scientists and Analytics Developers committed to customer success, emphasizing ownership and a strong value system.

The Data Scientist will develop ML models for targeting offers and customer engagement, analyze datasets, and create dashboards.

Lead development of algorithms and production pipelines for Roche's SBX sequencing technology. Provide technical direction to data scientists and bioinformatics engineers, build ML/DL models for signal-to-sequence tasks, implement and optimize sequence analysis algorithms, and architect scalable, reproducible workflows on HPC and cloud using Nextflow, SLURM, and MLOps practices.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

As a Principal Consultant, you will lead client engagements in data engineering, manage projects, mentor junior engineers, and implement data solutions using Databricks, AWS, and Azure.

Lead technical strategy and hands-on development for Faire's data platform and analytics. Design and operate scalable, secure data ingestion, storage, compute, orchestration, and governance. Mentor teams, define architecture and roadmaps, improve performance and cost-efficiency, and ensure monitoring, alerting, and data integrity across analytics workflows.

Lead and scale Google Marketing Platform capabilities while providing technical leadership, team development, commercial ownership, and fostering cross-functional collaboration to drive business growth.

As a Data Engineer, you will design database architecture, manage ETL/ELT pipelines, create financial reporting systems, and ensure data quality in collaboration with finance teams.

As a Product Manager at Qohash, you'll lead the development of data-centric cybersecurity solutions, ensuring alignment with customer needs and strategic company goals. Your role includes managing the product lifecycle, collaborating with cross-functional teams, and leveraging AI tools for efficiency.

The Staff Data Engineer will lead the technical vision and architecture of data engineering, develop pipelines, and mentor junior engineers while working with cloud environments and various data tools.

The role involves designing data pipelines and models for Stripe's Growth and Marketing teams, ensuring data integrity and performance metrics. Collaboration with various teams to enhance data visibility and support is crucial.