Top Data Jobs in Ottawa

Build and maintain production-grade data processing systems and foundational infrastructure for enterprise AI. Collaborate with researchers and engineers, deliver end-to-end implementations, transform unstructured data into performant datasets, and use distributed processing frameworks and modern analytics tooling to inform products and strategy.

Lead design and implementation of scalable, secure Forma Data cloud services. Act as technical lead across full software lifecycle, write and operate cloud services, mentor engineers, solve complex distributed-system problems, and collaborate globally to integrate SaaS products with Autodesk tools.

Develop data-analysis pipelines bridging ultrasound, synthetic biology, imaging and sequencing. Collaborate with wet-lab and ML teams to define objectives, encode priors, run ML pipelines for de-novo design and closed-loop active learning, and produce actionable insights to accelerate molecule discovery and device optimization.

Lead architecture and implementation of agentic AI systems powering Zuma's platform. Rebuild onboarding and integration frameworks, implement analytics and observability for LLM performance, translate product needs into technical solutions, mentor engineers, establish engineering standards, and work directly with customers to enable scalable, production-grade AI experiences.

Perform L3 network troubleshooting and RCA on production enterprise networks, review telemetry/logs/configs, label and annotate network behaviors for ML training, and help define schemas and data pipelines to support AI-driven infrastructure.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.

Lead design and delivery of cloud-based data architectures and ETL/ELT pipelines for marketing analytics. Advise clients, integrate marketing data, build and optimize pipelines and reusable models, ensure data quality/security, mentor team members, and align technical solutions to business goals.

Serve as delivery lead and senior digital analyst for clients: gather measurement requirements, analyze large event datasets (BigQuery/SQL), build visualizations, present insights, guide implementations (GTM/Tag tools), coordinate cross-functional delivery, and ensure QA and on-time execution.

Lead growth-focused data science across cross-functional squads: design experiments, build models and dashboards, run causal analysis and forecasting, define KPIs, identify high-leverage opportunities, and drive data-informed product and marketing decisions to improve acquisition, retention, and monetization.

Lead growth-focused data science within a cross-functional squad: define KPIs, run experiments, perform causal inference and forecasting, build dashboards and self-serve tools, identify high-leverage opportunities across acquisition, activation, retention and monetization, and evangelize data-driven decision making to drive measurable business impact.

Lead development and evolution of AlphaSense's financial data taxonomy and generation rules. Serve as subject-matter expert, align cross-functional teams, define requirements for new datasets, ensure AI/LLM compatibility, maintain documentation, and build scalable frameworks to expand and maintain high-quality structured financial data for capital markets users.

Design and implement automated data quality frameworks and tests for BigQuery-based pipelines. Collaborate with data engineers and product to define data contracts and quality gates, build observability and anomaly detection, validate complex ELT/ETL processes, and integrate data tests into CI/CD workflows. Drive improvements in documentation, governance, and pipeline reliability.

Lead development and governance of Canopy's data, research, and knowledge systems. Coordinate cross-team research, establish data quality and provenance standards, oversee dashboards/maps/calculators and AI-enabled workflows, translate technical research for non-specialists, and manage internal staff plus external researchers to support reports, decision tools, and thought leadership.

Design and implement secure, resumable cloud pipelines to ingest multi-terabyte medical imaging data; build GPU-accelerated orchestration with strong retry semantics and cost controls; define data lifecycle and retention; implement HIPAA/PHI security and compliance controls; and deliver operational tooling (monitoring, alerting, runbooks) for a device fleet.

Research-focused internship for advanced PhD candidates to develop and evaluate neurosymbolic, knowledge representation, multimodal, and trustworthy AI methods. Duties include defining research questions, building prototypes and benchmarks, running rigorous experiments, collaborating with engineers and domain experts, and moving research toward production and publications.

Lead design, implementation, and support of enterprise LAN/MAN/WAN networks. Configure Cisco network hardware and security platforms, troubleshoot escalated incidents, optimize monitoring, mentor staff, maintain documentation, and drive network modernization.

Lead design and governance of enterprise data architecture and cloud migrations. Design data models, integration frameworks (ETL/ELT, APIs, streaming), and SharePoint/M365 migrations. Define data governance, security, and lifecycle policies; document architectures and enable adoption across teams. Support Azure-based platform modernization and performance optimization.

As a Senior Software Engineer, you'll design and build scalable market data systems, improve API architecture, and enhance overall system performance, contributing to Alpaca's infrastructure for trading financial assets.

The role involves owning product feature development, participating in system design, and maintaining software performance in an agile setting.

The Senior Systems Engineer will manage technical relationships, oversee pre-sales evaluations, and collaborate with engineering to define product requirements. They will also develop sales strategies and provide customer proposals while demonstrating expertise in storage products and architectures.

The Account Executive will drive sales growth by developing business with enterprise customers, managing relationships, and delivering proposals aligned with their needs, while collaborating with channel partners.

The Robot Data Operations Analyst will control robots, evaluate performance, provide quality assurance, and document observations safely in an R&D setting.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

As a Business Development Intern, you will support acquisition activities by validating prospect data, conducting market research, and aiding analysis for software company acquisitions.