Top Data Jobs in Ottawa

Design and build scalable ETL/ELT pipelines for clinical data, optimize data architectures in AWS, support AI workflows and ensure compliance and data governance.

Design and build platform services at Atlan, focusing on app lifecycle, distribution, and system architecture for reliability and scale.

The Data Analyst will support business needs through technical problem-solving and data analysis, focusing on improving user experience and conversion rates in a B2B2C environment.

As an AI Data Collector, you will capture high-quality images in various environments following project guidelines and deadlines. You will work independently, document your process, and help shape the future of AI technologies.

The Founding Data Engineer will manage the company's data models, ensure metric integrity, and work with various teams to deliver reliable metrics and reporting systems.

As a Data Analyst, Product at Kraken, you'll transform complex product data into actionable insights, manage data solutions, and support decision-making in a remote environment, focusing on user experience and growth.

Lead the Data Modeling team, focusing on the development of reusable core data models and metrics. Collaborate with various teams to ensure data quality and reliability in analytics and AI/ML. Hands-on role requiring experience in data modeling, SQL, Python, and Spark.

The Software Engineer will manage data collection for model training operations, enhance cloud infrastructure, and collaborate with AI scientists to improve data quality and scale.

The Senior Data Analyst will analyze player behavior, create dashboards, guide product growth with insights, and collaborate on A/B testing at Rovio.

As a Data Annotation Specialist, you will break down engineering tasks for AI models, evaluate their responses, and ensure outputs are accurate through labeling and proofreading.

Lead strategic data evolution for Fund Administration clients, building dashboards, managing stakeholders, and translating business needs into actionable insights.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

The Data Engineer will manage the full data stack, design database architecture, build ETL pipelines, create data integrations, and oversee reporting and data quality.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

As a Data Engineer, you'll design, build, and maintain data pipelines, ensure data quality, and collaborate with stakeholders to deliver data solutions.

The Forward Deployed Marketing Data Scientist will work with AI customers and engineering teams to optimize AI-driven marketing campaigns through data analysis, diagnostics, and communication of insights to stakeholders.

Lead a data engineering team responsible for customer integrations, ensuring quality, improving processes, and building data pipelines in a hands-on management role.

The Senior Data Engineer II will design and operate data pipelines, manage data modeling, ensure data quality, and collaborate across teams for analytics and AI integration.

As a Data Engineer, you'll design and maintain data pipelines, model data for analytics, ensure data quality, and collaborate with teams to meet data needs.

The Data Migration Specialist will manage end-to-end data migrations, ensuring data quality and effective communication with clients and internal teams while resolving challenges.

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

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 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.

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