Top Data Jobs in Ottawa

The Senior Product Manager will oversee integration of structured data into the AlphaSense platform, manage product lifecycle, and liaise between technical and user needs. Extensive experience in fintech or financial services required.

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.

Design and build scalable distributed ingestion services; maintain event pipelines and collaborate with multiple teams. Ensure system reliability and improve code practices.

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.

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.

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.

The Senior Data Engineer at ClickUp will design and maintain cloud-native data infrastructure, develop data pipelines, automate deployments, and work with cross-functional teams to enhance data solutions while mentoring peers.

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, collaborate with teams, and uphold data governance at Mozilla.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.