Top Data Jobs in Ottawa

As a Senior Data Analyst, you will analyze marketing performance, implement multi-touch attribution, and provide insights for strategic decisions.

As a Product Manager at Reflow, you will lead product strategy, execution, and delivery while ensuring customer engagement and managing engineering dependencies in an early-stage startup environment.

In this role, you will define and execute the go-to-market strategy, drive growth, and lead customer success efforts at Reflow, a workplace intelligence platform.

Lead and optimize data collection, validation, storage and reporting activities. Ensure data quality and governance, implement process improvements, support new systems rollout, mentor junior staff, and maintain documentation and compliance with security and regulatory requirements.

The Container Optimization Marketing Manager will strategize and execute marketing initiatives to drive growth and pipeline for DoiT's Kubernetes solutions, ensuring competitive market positioning and measurable revenue impact.

As a Data Engineer, you'll develop high-quality datasets, build data pipelines, collaborate with teams, and ensure data quality and usability.

Design and architect scalable file and object storage solutions. Lead workshops and POCs, collaborate with product management, and provide competitive insights.

Lead the data engineering efforts by building and optimizing ETL pipelines and data lakes, ensuring data integrity and supporting cross-functional teams with actionable insights.

Lead data engineering efforts to build and optimize scalable ETL processes, ensuring reliable data for business intelligence and analytics teams.

The Senior Software Engineer will manage data systems, develop scalable pipelines, ensure data security, and build self-service applications for users at Coinbase.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

As a Product Manager at Orium, you'll strategize, plan, and deliver commerce initiatives, guiding clients and managing product vision and requirements in a fast-paced environment.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

As a Data Engineer at LiveKit, you will manage the analytics infrastructure, develop scalable GCP-based data pipelines, and ensure effective data movement and transformation processes, while collaborating with the Analytics and engineering teams.

As a Senior Software Engineer, you will own data framework integrations, contribute to high-performance database engineering, and enhance developer experience in JVM-based environments.

The Senior Software Engineer will build core data pipeline components for an intelligent data platform, ensuring data quality and collaborating across teams while utilizing AI-assisted development practices.

As a Staff Software Engineer, you will design and deliver core data platform components, drive architecture, and establish technical standards, utilizing AI-assisted development practices for a new intelligent data warehouse.

Design and operate distributed inference systems for LLMs, build large-scale data pipelines, and debug production issues while collaborating with researchers and ML engineers.

As a Senior Data Engineer, you'll design scalable data models, manage cloud pipelines using Google Cloud services, and optimize data architecture while collaborating with cross-functional teams.

The Head of Data & Systems will set a vision for data governance and architecture, leading teams in analytics and business systems to drive self-service and ensure data quality across Jane as the company scales, focusing on AI integration and organizational culture change.

Design and implement data architecture, build data infrastructure, partner with business leaders, oversee data migration, and ensure compliance.

The role involves building and scaling data infrastructure for multimodal AI systems, developing high-throughput data pipelines, and collaborating with ML researchers and product teams to enhance data systems.

The Data Scientist will develop data labeling strategies, optimize datasets for LLMs, analyze data quality, and collaborate with engineering on data processing pipelines.

As a Data Annotation Specialist, you'll label, audit, and correct machine learning data while ensuring high accuracy in Japanese. You'll also evaluate responses and recommend optimizations based on project guidelines.

The role involves labelling, auditing, and correcting language data in Modern Standard Arabic, ensuring quality and accuracy in AI training for machine learning models.