Top Data Engineer Jobs in Calgary

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

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.

As a Data Engineer, develop data infrastructure for core analytics systems, building scalable data pipelines and integrating geospatial data workflows.

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.

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.

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.

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 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.

The Senior Software Engineer will develop a data migration suite, focusing on backend services, utilizing Java and streaming technologies, while collaborating with product teams.

Seeking a Data Engineer to design and maintain ETL pipelines, data models, and infrastructure for analytics, working with enterprise clients.

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.

Lead modeling projects to enhance customer engagement. Build and optimize machine learning models, mentor junior scientists, and communicate findings to stakeholders.

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

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 Data Engineer at LiveKit, you will manage the analytics infrastructure, develop scalable GCP-based data pipelines, and ensure effective data movement and transformation processes, while collaborating with the Analytics and engineering teams.

As a Senior Data Engineer, you'll design scalable data models, manage cloud pipelines using Google Cloud services, and optimize data architecture while collaborating with cross-functional teams.

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.

As a Senior Data Engineer, you'll architect scalable data systems, develop core infrastructure, mentor junior engineers, and collaborate with analytics teams.

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

The Data Engineer develops and maintains data pipelines, supports analysts, and builds solutions for data processing and analysis in a collaborative environment.