Top Data Jobs in Ottawa

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 Data Analytics and AI Architect will define and advance the organization's data and AI architecture, ensuring alignment with business strategy. Responsibilities include designing architectures, researching technologies, and managing compliance.

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.

The Data & Analytics Engineering Intern will support the team by developing data pipelines, transforming data for analytics, and collaborating with stakeholders while gaining hands-on experience in an Agile environment.

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

The Data Engineer will build data solutions, develop ETL/ELT pipelines, implement data architecture, and deploy AI/ML models, collaborating with analysts and stakeholders.

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 Data Conversion Engineer will manage ETL processes, develop data scripts, ensure data quality, and collaborate with teams to migrate data into utilities' systems.

As a Software Engineer 2 - Data Acquisition, you'll design and build data ingestion pipelines, ensuring quality and performance across multiple data domains while participating in code reviews and collaborating with data consumers.

Lead the design and development of scalable data acquisition systems, architect core components, and mentor engineers while collaborating across teams to fulfill data integration needs.

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.

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.

Lead the exploration and development of Generative AI capabilities for the AEC industry, collaborating with various internal teams and managing project requirements and updates.

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.

Design and build data architectures, oversee ETL/ELT pipelines, collaborate with stakeholders to optimize data usage, and implement data quality frameworks.

The Google Cloud Data Engineer will design, build, and improve partner-facing web portals, contribute to the full software development lifecycle, and collaborate with cross-functional teams for high-quality software delivery.

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.

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

As a Data Analyst for Risk and Operational Performance, you'll analyze data, design dashboards, and drive insights to enhance decision-making and efficiency across teams.

As a Data Analyst, you will analyze user behavior, create interactive dashboards, and collaborate with teams to provide actionable insights for product improvement.

Analyze user behavior and product performance, create reports and dashboards, and provide data-driven insights to teams for decision-making.

The Senior Director will lead AI transformation in procurement, creating research content, providing actionable insights, and mentoring team members. This role requires expertise in AI technologies, procurement processes, and collaborative engagement with clients and executive teams.

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.

The Senior Director of Data, AI & Analytics leads market strategy and technical operations, driving growth and ensuring successful client integrations with Salesforce technologies. Responsibilities include shaping GTM strategies, overseeing industry accelerators, managing financial goals, mentoring staff, and ensuring operational excellence and innovation.

The Guidewire Data Engineer will design schemas in Snowflake, develop ETL processes, optimize SQL queries, and integrate Guidewire with data platforms.