Top Data Engineer Jobs in Ottawa

Responsible for designing, building, and maintaining scalable data pipelines using Databricks. Optimize ETL/ELT processes and ensure data quality, governance, and security.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, collaborate with teams, and uphold data governance at Mozilla.

The Senior Data Engineer will lead the design and development of scalable data infrastructure for analytics and AI capabilities, ensuring compliant data processing systems and improving the data platform.

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.

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.

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 architect scalable data systems, enforce engineering standards, mentor teams, and drive real-time analytics at Life360.

The role involves enhancing the model evaluation platform by working on backend, infrastructure, frontend, and performance tasks. Interns will collaborate with a senior engineer to build and deploy new features using cutting-edge AI technologies.

The Senior Data Platform Engineer will design and operate a unified data platform, ensuring reliable data flows and collaborating across teams to shape data strategy and architecture.

The Data Reliability Engineer will enhance the resilience and scalability of data infrastructure, focusing on automation and reliability. Responsibilities include managing data pipelines, operating Kubernetes clusters, and defining observability standards.

As a Software Engineer, you will create tools and pipelines for AI development, manage data solutions for ML teams, and ensure high-quality code.

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

Design and implement ETLs to process large volumes of customer data, build tools for integration, and mentor team members to improve data handling and scalability.

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

Design and maintain data pipelines and ML systems, implement MLOps practices, and collaborate with teams to address client challenges in AI and data projects.

As a Senior Data Engineer, you'll design and maintain a cloud-native data platform that processes large-scale audience data, ensuring data quality and performance while supporting machine learning workflows and business metrics.

Build scalable ML data pipelines for Waabi's autonomous driving platform. Design, optimize, and manage datasets and training processes while collaborating with scientists and engineers.

As a Staff Software Engineer, you'll architect and build foundational platform services, focusing on data infrastructure, healthcare interoperability, and secure APIs while mentoring other engineers.

Design, build, and operate large-scale distributed batch and streaming data systems on AWS. Develop production-grade services, data pipelines (Spark/Hadoop/Airflow), microservices, IaC/CI-CD, and tooling; mentor peers and troubleshoot complex production issues to ensure reliability, scalability, and observability of Cloud Analytics platform.

As a Software Engineer in Data Infrastructure, you will build and maintain high-performance data storage systems for AI training, collaborate with experts, and optimize data processing.

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.

The Senior Data Analytics Engineer will develop reporting solutions, perform data analysis, improve data quality, and collaborate with stakeholders to enhance business metrics understanding. They should have strong SQL skills and at least 7 years of experience in analytics roles.

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

As a Backend Engineer on the Data team, you will design and maintain data pipelines and services, ensuring data quality and scalability while collaborating with cross-functional teams to meet data needs.

The role involves owning data science pipelines, delivering client-facing features, driving cross-functional collaboration, and leveraging AI tools to enhance workflows, ultimately transforming retail data into actionable insights.