Top Data Engineer Jobs in Calgary

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.

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

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 Data Engineer will design and implement data solutions, build and optimize data systems, and collaborate with teams to address business analytics needs.

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.

As a Staff Data Engineer, you will design and build large-scale data processing systems, ensuring data integrity and reliability while collaborating with cross-functional teams to influence architecture and technical roadmap.

Design, build, and maintain scalable data systems and pipelines; ensure SLOs and reliability; partner with Product, Sales Ops, and Finance to deliver analytics; support self-service tooling; contribute to data architecture, testing, and documentation.

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.

The role involves day-to-day data center operations including monitoring, troubleshooting, hardware handling, and executing operational procedures to ensure infrastructure stability.

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 Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

As a Software Engineer on Glean's Data Foundations team, you'll build and scale data ingestion connectors, transforming unstructured content into structured data while ensuring system reliability and security throughout the data processing pipeline.

As a Founding Senior Data Engineer, you will build the analytics foundation, design data pipelines, track metrics, and collaborate with teams for data-driven decisions.

As a Senior Software Engineer, you will own data framework integrations, contribute to high-performance database engineering, and enhance developer experience in JVM-based environments.

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

The Staff AI Engineer will design, implement, and maintain machine learning algorithms and systems, integrating AI components into applications and collaborating with cross-functional teams using cloud technologies and DevOps principles.

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.

The Tech Lead, Data Engineer will design and implement CMG's Medallion 2.0 data platform, collaborating with teams to ensure optimal data architecture and quality.

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 role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

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