Top Data Jobs in Ottawa

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 Senior Data Engineer, you'll maintain data integrations, resolve technical issues, communicate with stakeholders, and improve support processes.

As a Senior Data Solution Architect, you'll design and implement scalable data solutions, manage key data domains, and ensure data quality while collaborating with stakeholders to meet business needs.

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.

Join Quora's data infrastructure team to build and maintain data lakes, pipelines, query engines, and dashboards. Work on scalability, cost and performance improvements, participate in planning and on-call rotations, and contribute to tooling and reliability. Mentorship and training provided for new graduates.

Maintain and improve marketing database quality in Marketo and Salesforce by auditing data completeness, standardizing attributes, deduplicating leads, building data health dashboards, supporting integrations, enabling sales alignment, documenting processes, and coordinating projects to drive marketing effectiveness.

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

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.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

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

Design, build, and maintain data pipelines and reporting solutions (Metabase) to ensure accurate, optimized datasets and user-friendly dashboards for analytics and decision-making.

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

As a Senior Product Data Analyst, you will provide strategic data insights to the Product team, supporting decision-making through data analysis and fostering data literacy.

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

The Sr. Data Analyst will support the Customer Success leadership team through reporting, analytics, and process design to drive business growth and operational efficiency.

The Data Analyst for Risk will analyze and report on fraud and risk data, develop insights, build dashboards with Looker, and improve risk processes.