Top Data Engineer Jobs in Ottawa

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

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

Design and automate data pipelines, optimize data models, and ensure data integrity while collaborating with analysts and scientists. Requires 5+ years of experience in data engineering.

As a Senior Software Engineer in the Vehicle Diagnostics team, you will design and develop vehicle telematics data products, lead technical discussions, collaborate with teams, and influence platform roadmaps.

As a Staff Data Engineer, you'll architect and model data, create ETL pipelines, and standardize datasets for compliance teams. You'll guide best practices and lead data solutions while collaborating with various stakeholders.

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.

Lead end-to-end personalization initiatives: define problems, build and deploy machine learning and statistical models for recommendations and layout optimization, integrate scalable solutions with engineering and product, monitor performance, communicate insights to stakeholders, and mentor junior data scientists.

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'll design, build, and maintain data pipelines, ensure data quality, and collaborate with stakeholders to deliver data solutions.

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.

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.

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

Build and maintain petabyte-scale data platform components for ingestion, storage, and processing. Contribute to data lake modernization, enable AI/ML workflows, integrate with partner teams, and participate in on-call operations and incident response.

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.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

As a Senior Data Engineer, you'll design and manage ETL pipelines, optimize data models, monitor data quality, and collaborate with teams to support compliance operations.

As a Senior Software Engineer on the Data Integrations and Transformations Platform, you'll design and maintain backend services, mentor engineers, and enhance data access for business-critical applications.

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'll design and maintain data pipelines, ensuring data quality and efficiency while collaborating with cross-functional teams to support data-driven decisions.

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

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.

As a Data Engineer - Quality, you'll ensure data integrity by managing testing activities, developing validation frameworks, and maintaining pipelines while working closely with various 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.

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