Top Data Jobs in Ottawa

The Founding Data Engineer will design and build OpenArt's core data platform, ensuring data reliability, consistency, and scalability to support leadership and product metrics.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

Design and maintain data pipelines and ML systems, implement MLOps practices, and collaborate with teams to address client challenges in AI and data projects.

As a Senior Data Engineer, you'll design and maintain a cloud-native data platform that processes large-scale audience data, ensuring data quality and performance while supporting machine learning workflows and business metrics.

Lead the design and optimization of data infrastructure, focusing on scalability. Requires expertise in GCP, ETL/ELT processes, and collaboration across teams.

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.

Lead and manage the strategy, development, and operation of BECU's Enterprise Data Platform, ensuring secure and scalable data capabilities while fostering team collaboration and data governance.

As a Senior Data Scientist in Marketing Analytics, you'll partner with Marketing to solve problems, design data-driven solutions, lead experimentation, communicate insights, and operationalize solutions for business impact.

Build scalable ML data pipelines for Waabi's autonomous driving platform. Design, optimize, and manage datasets and training processes while collaborating with scientists and engineers.

The Data Governance Intern will assist in developing enterprise data catalogs, documenting data elements, and supporting data quality efforts using SQL and Python.

The AI Data Expert will review and evaluate AI-generated outputs and textual content, ensuring cultural relevance and quality. Responsibilities include content analysis, assessing multimedia materials, and providing structured annotations while adhering to detailed guidelines. Native fluency in French and strong English skills are essential, with previous experience in AI evaluation preferred.

Evaluate and review AI outputs, generate or assess content, and ensure cultural relevance and accuracy in various media for AI projects.

Lead and scale the Growth engineering organization at MaintainX, focusing on technical strategy, product-led growth, and enhancing cross-functional initiatives.

As a Data Scientist in Product Analytics, you will analyze large datasets, improve user experience, conduct A/B tests, and collaborate with teams to drive product insights and customer engagement.

The Senior Data Architect designs and maintains data infrastructure, leads cloud-based initiatives, mentors staff, and ensures data governance and quality across platforms.

As a Staff Software Engineer, you'll architect and build foundational platform services, focusing on data infrastructure, healthcare interoperability, and secure APIs while mentoring other engineers.

The Clinical Data Reviewer is responsible for clinical data assessment, checking data validity, generating queries, and supporting clinical trials for oncology drug development, ensuring data quality for submissions and analyses.

Design business data models and data architectures, mentor data teams, translate business requirements into technical specifications, and set standards for AI-augmented development practices.

Lead Data Acquisition Team, drive AI-augmented development, establish specification-driven methodology, oversee data pipeline architecture and ensure operational excellence.

Design, build, and operate large-scale distributed batch and streaming data systems on AWS. Develop production-grade services, data pipelines (Spark/Hadoop/Airflow), microservices, IaC/CI-CD, and tooling; mentor peers and troubleshoot complex production issues to ensure reliability, scalability, and observability of Cloud Analytics platform.

As a Software Engineer in Data Infrastructure, you will build and maintain high-performance data storage systems for AI training, collaborate with experts, and optimize data processing.

The Cloud Data Engineer will design and implement cloud-based data platforms, develop data pipelines, and ensure data accessibility for analytics across multiple sources.

As a Workday Financials Data Lead Consultant, you will implement and configure Workday solutions, lead data workstreams, and support customer relationships while driving data consulting growth within Kainos.

The role involves designing, building, and deploying machine learning models, collaborating with teams to address business problems, and mentoring other data scientists.

Support recruitment by entering and organizing candidate information, maintaining spreadsheets, and performing basic administrative tasks.