Top Data Engineer Jobs in Ottawa

As a Staff Data Engineer at Cloudbeds, you will design and implement scalable data systems using various technologies, optimizing performance and ensuring data security while collaborating with cross-functional teams to drive innovation.

As a Staff Data Engineer, you will design distributed data systems, build scalable data pipelines, and ensure performance optimization and data governance.

The Senior Data Engineer at ClickUp will design and maintain cloud-native data infrastructure, develop data pipelines, automate deployments, and work with cross-functional teams to enhance data solutions while mentoring peers.

The role involves designing data pipelines and models for Stripe's Growth and Marketing teams, ensuring data integrity and performance metrics. Collaboration with various teams to enhance data visibility and support is crucial.

The Staff Data Engineer will lead the technical vision and architecture of data engineering, develop pipelines, and mentor junior engineers while working with cloud environments and various data tools.

As a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.

Responsible for database administration, data engineering, and operations within the Data Lake and Data Warehouse. Lead ETL design, troubleshoot production issues, and mentor junior engineers.

You will architect and develop new features for SELECT, focusing on cost management, UI components, data visualization, and improving application performance.

Design and optimize ETL processes, build data pipelines with Python, manage Azure solutions, and ensure data integrity for analytics and AI initiatives.

Design and build scalable backend services for a trading platform, focusing on data ingestion, processing pipelines, and APIs while ensuring system reliability and integrating with various teams.

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.

As a Senior Data Engineer, you will build scalable data pipelines, manage cloud infrastructure, and support analytics and data science teams, leveraging various technologies to deliver impactful solutions for clients.

Lead the design and development of scalable data acquisition systems, mentor engineers, and integrate diverse internal and external data sources. Architect platform components for high-volume data processing with a focus on reliability and governance.

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.

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 implement data ingestion pipelines, develop reusable components, support observability, and partner with data consumers to enhance data integration.

As a Staff Software Engineer, you'll scale datastores, manage data migrations, ensure query performance, and design systems for event-driven architecture, while mentoring engineers and improving the data stack.

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.

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.

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.