Top Data Jobs in Ottawa

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.

Lead advanced analytics and experimentation, design A/B tests, develop predictive models, and mentor team members to improve product strategy and customer experience.

Lead data science strategy for Coalition's insurance business, driving cross-functional analytics, experiments, and scalable ML/analytical workflows. Define portfolio metrics, build dashboards, mentor team members, and influence underwriting, claims, reinsurance, and pricing decisions with causal and statistical methods.

Serve as a strategic analytics partner to Finance and Music Operations. Lead end-to-end analytics: data modeling, complex SQL, dashboarding in Sigma, data quality, and governance. Deliver executive insights on revenue, streams, royalties, and artist/catalog performance to drive data-informed decisions.

Lead GTM and servicing analytics to build a Customer 360 view. Integrate marketing, sales, product, and servicing data to model journeys, measure campaign impact, build dashboards and data models, surface actionable insights to improve acquisition, onboarding, retention, and mentor junior analysts in SQL and best practices.

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

As a Staff Data Engineer, you'll lead the design and optimization of data infrastructure, mentor teams, and drive strategic data solutions for analytics and operational workloads.

As a Staff Data Engineer, you will design and build large-scale data processing systems, ensuring data integrity and reliability while collaborating with cross-functional teams to influence architecture and technical roadmap.

As a Senior Data Engineer at Wave, you will design and deploy components of a modern data platform, enhance AWS infrastructure, build data pipelines, and ensure data reliability and accessibility across teams, all while maintaining engagement with cross-functional stakeholders.

The Staff Data Engineer will design data pipelines, optimize ETL processes, and collaborate with various teams to enhance data-driven solutions for senior living technology.

Own the enterprise reporting roadmap for the EverPro business, steward core KPIs, and ensure timely, accurate executive reporting. Lead cross-functional delivery, manage stakeholder expectations, enforce reporting QA/governance, and drive improvements in data availability and visualization.

Own and improve Hive's Snowflake/dbt/Metabase analytics stack as a solo analyst: build and maintain dashboards, partner with leaders, perform ad-hoc SQL analyses, support operations, and present insights to technical and non-technical stakeholders.

The Data Engineer II will design and scale a modern data platform, focusing on building scalable data pipelines, support AI use cases, and ensure data quality.

Design, build, and support cloud infrastructure for real-time and batch data pipelines and ML workloads on Google Cloud. Lead architectural decisions, implement IaC (Terraform), manage CI/CD, participate in on-call support, troubleshoot production issues, and mentor data engineers to ensure secure, highly available, and governed data platform operations.

Lead data management activities for clinical trials including database setup, eCRF specification, edit checks, testing, data review/reconciliation, database lock/unlock, vendor reconciliations, SAE reconciliation, training, and DM documentation to meet timelines and quality standards.

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

Design, build, and maintain scalable data systems and pipelines; ensure SLOs and reliability; partner with Product, Sales Ops, and Finance to deliver analytics; support self-service tooling; contribute to data architecture, testing, and documentation.

As a Software Engineer on the Semantic Data Modeling team, you'll develop data models, collaborate on data transformations, and improve data standardization and schema enforcement.

The Junior Data Infrastructure Engineer will manage and optimize AWS infrastructure, automate workflows, and support data engineering tasks to enhance BESS site performance.

The Data & Deployment Engineer coordinates EMS software and data pipeline deployment, manages CI/CD processes, and supports integration between data and hardware teams, ensuring project success.

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.

As a Data Engineer, you will design and build data infrastructure, ensuring data continuity, modernizing data systems, and collaborating with teams to optimize data workflows.

The Senior Data Analyst will enable strategic decision-making through data analysis, reporting, and collaboration with stakeholders to ensure high-quality data integrity.

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

Design and manage distributed data systems for processing and transforming datasets for AI model training, ensuring data quality and scalability.