Top Data Engineer Jobs in Ottawa

The Data Engineer 2 will build data integration pipelines, maintain data quality, and collaborate with stakeholders to meet data deliverables.

The Data Engineer will enhance the Business Intelligence platform, manage Sigma Computing, provide user support, conduct training, and ensure platform usability.

Architect and maintain marketing databases and pipelines, implement data infrastructure for AI/ML, and manage data integration in a collaborative environment.

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

The ML Data Engineer will build and optimize data pipelines and feature engineering systems for machine learning, collaborating with data scientists and engineers.

Lead design and implementation of shared, reusable data models and a certified metrics layer. Standardize pipeline patterns, CI/CD, and governance; modernize orchestration and observability; partner with Data Science, Infrastructure, and Product to deliver reliable analytics pipelines and enable AI-native data development.

The role involves ensuring the reliability of Veeva AI Agents through evaluation strategies, LLM output integrity assessments, and automation of evaluation pipelines while debugging and reporting performance metrics.

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.

The Staff Software Engineer will lead the development of backend services and data pipelines for real estate MLS data, mentor teams, and work on AI integration.

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

The Data Engineer will manage the full data stack, design database architecture, build ETL pipelines, create data integrations, and oversee reporting and data quality.

The Senior Data Platform Engineer will oversee Databricks and AWS infrastructure, collaborate with teams to optimize data workflows, and mentor junior engineers.

As a Data Engineer, you will design database architecture, manage ETL/ELT pipelines, create financial reporting systems, and ensure data quality in collaboration with finance teams.

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.

As a Data Engineer, you will build and maintain data pipelines, ensuring data quality and reliability for analytics and reporting. You'll collaborate with various teams to support data needs and monitor system performance.

The Founding Data Engineer will design and build OpenArt's core data platform, ensuring data reliability, consistency, and scalability to support leadership and product metrics.

As a Growth Data Engineer, you will build and manage marketing data and attribution systems, ensuring reliable data flow and accurate measurement of acquisition efforts. The role involves collaboration across product, marketing, and data teams with a focus on optimizing campaign performance.

The Senior Data Engineer will own and evolve data pipelines, collaborate with teams for data models and pipelines, optimize ETL processes, and implement data storage solutions.

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.

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

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.

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 Data Engineer I will design and implement data solutions on Azure, developing ETL processes, managing data pipelines, and ensuring data quality and security, while collaborating with various teams.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.