Top Data Jobs in Ottawa

The Staff Software Engineer will lead the development of backend services and data pipelines for real estate MLS data, mentor teams, and work on AI integration.

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

The Engagement Manager establishes partnerships with Canadian customers, enhances their use of Databricks, ensures satisfaction, manages engagements, and collaborates across teams to drive success.

The Head of Partnerships at Stardog will build and scale the global partner ecosystem, driving significant revenue through partnerships and executing strategies in complex enterprise deals.

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 Associate Director of Data & AI will lead transformation programs, drive business value through AI strategies, and oversee modern data platform delivery for major enterprises.

Lead the Orchestration Services team, overseeing data management and engineering projects while fostering team development and collaboration. Drive technical decisions and multi-year roadmaps for new products.

Lead Data Scientist responsible for driving measurable outcomes through experiments, data analysis, and creating metrics to track performance. Collaborate with engineering for productionizing models and enhancing recommendation systems using AI technologies.

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

Collect, clean, and analyze product data to generate reports and dashboards (KPIs: engagement, retention, adoption). Provide exploratory analyses, visualizations, and actionable insights to product teams, ensuring data integrity and supporting product decisions.

The Senior Data Scientist will develop business analytics functions, manage data projects, conduct statistical analysis, and collaborate with stakeholders on predictive models and insights.

The Energy Analyst will enhance data systems for market data utilization, collaborating with engineers to improve data handling and quality assurance processes, driven by a passion for clean energy.

The Principal Product Manager will define and execute the strategy for Viral Nation's data platform, focusing on data engineering, warehousing, and analytics. Responsibilities include managing the product roadmap, ensuring data quality, and collaborating with teams on technical requirements for data solutions.

The Data Architect will unify data architecture across multiple SaaS products, optimize data storage, support AI initiatives, and mentor engineers, bridging strategic leadership with hands-on technical expertise.

As a Data Engineer at Northbeam, you will develop and maintain scalable data pipelines, optimize data ingestion, and provide technical leadership in a cross-functional team.

Build and maintain production data pipelines (ingress/egress) into BigQuery, implement data quality/freshness checks and monitoring, maintain ingestion frameworks and dbt source/staging layers, troubleshoot pipeline issues, document systems, and help productionalize ML pipelines and event-driven data processes while collaborating with finance, revenue, and analytics teams.

Lead design and implementation of complex cloud data solutions on AWS; define strategic roadmaps, act as data engineering SME, interview and mentor staff, and establish data standards and operating procedures.

Perform French-Canadian language annotation and rating tasks for AI training data with high accuracy, meet deadlines, research as needed, and communicate in French-Canadian and English. Temporary, part-time freelance role (15–20 hrs/week) with NDA requirement.

Lead product analytics end-to-end: own event taxonomy and instrumentation quality, analyze funnels/retention/cohorts, design A/B tests, build dashboards, and translate insights into product decisions to drive user growth and monetization.

The Manager, Data Analysis oversees centralized monitoring for clinical trials, ensuring effective RBQM systems, data analysis, and reporting while collaborating with cross-functional teams.

Design and implement data ingestion pipelines, develop reusable components, support observability, and partner with data consumers to enhance data integration.

Lead the Engagement Data Warehouse team, owning the vision for data products and managing a team of data engineers. Drive data roadmap, engineering excellence, and foster team culture within data-intensive systems.

As a Staff Software Engineer, you'll scale datastores, manage data migrations, ensure query performance, and design systems for event-driven architecture, while mentoring engineers and improving the data stack.

The Senior Data Scientist develops and implements machine learning models for cybersecurity, conducting data analysis, collaborating with teams, and ensuring model accuracy.

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.