Top Data Jobs in Ottawa

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

Responsible for developing machine learning models, conducting quantitative analysis, and optimizing workflows to enhance user experience and engagement at The Athletic.

The Data Analyst will oversee data research projects, implement data reporting best practices, analyze marketing campaign effectiveness, and provide insights to drive growth for Canadian digital identity.

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.

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.

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

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 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.

As a Staff Software Engineer, you will develop and maintain data pipelines on a scalable SaaS platform, focusing on performance and analytics related to large datasets and ETL processes.

Lead the development of production-grade machine learning solutions, collaborating with cross-functional teams to solve complex business problems and deliver measurable impact.

As a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

The Senior/Lead Data Scientist will develop advanced forecasting models, collaborate with business partners, and guide a team in deploying analytical solutions.

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.

As a UX Researcher, you will lead mixed-method studies, collaborate with teams to prioritize research needs, and disseminate insights to shape product strategy and user experiences.

The Account Executive is responsible for generating revenue, managing customer relationships, and developing business strategies with enterprise-level clients.

As a Senior Data Solution Architect, you'll design and implement scalable data solutions, manage key data domains, and ensure data quality while collaborating with stakeholders to meet business needs.

The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.

Lead the development of generative AI tools and scalable data pipelines for the AEC industry, mentoring engineers and collaborating on ML systems.

Responsible for database administration, data engineering, and operations within the Data Lake and Data Warehouse. Lead ETL design, troubleshoot production issues, and mentor junior engineers.

This role involves deploying solutions for clients, managing data compliance, and providing feedback for product improvement. Requires collaboration with teams and clients.

Develop and implement fraud detection models using machine learning techniques, analyze data for patterns, and optimize existing models for risk management.

The Senior Software Engineer will develop the data platform, build services, improve operational excellence, and mentor other engineers in a data-intensive environment.

The Technical Project Manager oversees automation projects, ensures design and engineering align with standards, and manages stakeholder relations to drive project success.

Analyze and optimize pricing, billing, and deployment metrics. Collaborate across teams to ensure data-driven decisions and improve enterprise readiness and cost efficiency.

The Senior DevOps Developer will design and manage infrastructure and CI/CD pipelines to enhance development processes. A focus on innovative solutions is required.