Top Data Engineer Jobs in Ottawa

Build and maintain backend services, APIs, and data platform components; contribute to ELT/ETL pipelines (real-time and batch), integrations with data providers, testing, and cross-functional engineering projects with high ownership.

The Software Engineer will focus on data collection and infrastructure for AI model training, handling large datasets and collaborating with engineers and scientists.

As a Senior Software Engineer on the Semantic Data Modeling Team, you'll design scalable data models, implement transformation logic, and ensure data consistency across domains for WEX's enterprise data platform.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

Lead data engineering efforts to build scalable ETL pipelines and maintain a data lake infrastructure to drive business intelligence and analytics across teams.

Lead and enhance scalable data engineering efforts facilitating effective data usage across teams, ensuring quality and accessibility of critical data.

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.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

As a Senior Data Developer, you will create infrastructure-as-code pipelines, automate file processing, develop ETL solutions, and generate reports and analytics to support various departments.

As a Staff Data Engineer, you'll design data models and pipelines, mentor engineers, and lead initiatives to enhance Scribd's data platform, ensuring quality and scalability.

Senior Data Engineer responsible for enterprise data modeling, building and maintaining AWS-based event-driven pipelines, optimizing large-scale Snowflake and Aurora Postgres systems, developing Python data pipelines, and collaborating on infrastructure and CI/CD to ensure scalable, production-grade data platforms aligned to ET time zone.

As a Senior Data Engineer at Afresh, you'll improve how customer data is integrated and processed, designing robust ETLs and enhancing platform tools to support scalability and accuracy in handling large datasets.

As a Senior Data Engineer at nesto, you will design, build, and optimize data pipelines in Azure and GCP, manage databases, enable BI reporting, and ensure data security and compliance.

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.

Design and build scalable distributed ingestion services; maintain event pipelines and collaborate with multiple teams. Ensure system reliability and improve code practices.

The role involves leading the design, development and implementation of software projects, mentoring developers, and driving innovation in Autodesk's AEC data services.

As a Senior Software Engineer, you'll develop high-impact production-level software, work on large data sets, and mentor early career engineers while collaborating cross-functionally with product managers and UX researchers.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

The Staff Data Engineer will design large-scale data systems, create data pipelines, and implement performance optimizations using distributed systems and various technologies, while collaborating with a remote team.

In this role, you'll design and implement large-scale distributed data processing systems, creating robust data pipelines while ensuring scalability and security for processing billions in bookings.

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.

As a Staff Software Engineer, you will develop and maintain data pipelines on a scalable SaaS platform, focusing on performance and analytics related to large datasets and ETL processes.

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 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.