Top Data Jobs in Toronto

Lead complex, enterprise data implementations end-to-end, act as technical escalation, design scalable ingestion/onboarding solutions, establish playbooks and tooling, drive automation, mentor implementation engineers, and represent ODAIA with customers.

Lead the design and evolution of a Customer Data Mart, ensuring scalable and secure architectures, partnering with stakeholders to meet business objectives, and mentoring engineering teams.

As a Senior Data Implementation Engineer, you will oversee complex customer implementations, build automated ETL workflows, define data validation frameworks, and mentor junior engineers while ensuring compliance with data security regulations.

The Senior Data Scientist will develop growth strategies, build predictive models, and foster a data-driven culture while leveraging expertise in ML and statistical analysis.

As a Senior Data Product Owner, you will define product vision, manage product development, ensure governance, and facilitate collaboration for data solutions.

As a Senior Data Engineer, you'll develop data pipelines, optimize Databricks solutions, ensure data governance, and collaborate within an Agile team to enhance Citco's data infrastructure.

As a Junior Data Engineer, you will develop data pipelines on Databricks, optimize ETL processes, and collaborate with stakeholders to transform data into insights within a cloud environment.

As a Data Scientist, you will create performance metrics frameworks, analyze datasets, and provide insights to aid product decision-making across SAFE studios.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

Serve as a strategic analytics partner to Finance and Music Operations. Lead end-to-end analytics: data modeling, complex SQL, dashboarding in Sigma, data quality, and governance. Deliver executive insights on revenue, streams, royalties, and artist/catalog performance to drive data-informed decisions.

The Guidewire Data Engineer will design schemas in Snowflake, develop ETL processes, optimize SQL queries, and integrate Guidewire with data platforms.

Lead advanced analytics and experimentation, design A/B tests, develop predictive models, and mentor team members to improve product strategy and customer experience.

Lead data science strategy for Coalition's insurance business, driving cross-functional analytics, experiments, and scalable ML/analytical workflows. Define portfolio metrics, build dashboards, mentor team members, and influence underwriting, claims, reinsurance, and pricing decisions with causal and statistical methods.

Lead GTM and servicing analytics to build a Customer 360 view. Integrate marketing, sales, product, and servicing data to model journeys, measure campaign impact, build dashboards and data models, surface actionable insights to improve acquisition, onboarding, retention, and mentor junior analysts in SQL and best practices.

The Senior Network Engineer will manage and optimize in-house and cloud-based networks, ensuring security and availability while troubleshooting complex network issues.

As a Staff Backend Engineer, you will develop complex backend solutions, focusing on the Spark-based data platform while ensuring code quality and collaborating closely with teams.

The Data Operations Manager will oversee the HCP Access data product lifecycle, ensuring data quality and customer deliverables through monitoring, validation, and process optimization in collaboration with technical teams.

The role involves developing dashboards, data extraction, reporting, and utilizing BI tools to enhance marketing performance and insights.

As a Data Engineer at Lyft, you will develop data infrastructure, build scalable data pipelines, and support analytics initiatives for various teams.

As a Staff Data Engineer, you will design and build large-scale data processing systems, ensuring data integrity and reliability while collaborating with cross-functional teams to influence architecture and technical roadmap.

Own and improve Hive's Snowflake/dbt/Metabase analytics stack as a solo analyst: build and maintain dashboards, partner with leaders, perform ad-hoc SQL analyses, support operations, and present insights to technical and non-technical stakeholders.

The Senior Director of Data, AI & Analytics leads market strategy and technical operations, driving growth and ensuring successful client integrations with Salesforce technologies. Responsibilities include shaping GTM strategies, overseeing industry accelerators, managing financial goals, mentoring staff, and ensuring operational excellence and innovation.

As a Senior Data Engineer at Wave, you will design and deploy components of a modern data platform, enhance AWS infrastructure, build data pipelines, and ensure data reliability and accessibility across teams, all while maintaining engagement with cross-functional stakeholders.

Own the enterprise reporting roadmap for the EverPro business, steward core KPIs, and ensure timely, accurate executive reporting. Lead cross-functional delivery, manage stakeholder expectations, enforce reporting QA/governance, and drive improvements in data availability and visualization.

The Data Engineer II will design and scale a modern data platform, focusing on building scalable data pipelines, support AI use cases, and ensure data quality.