Top Data Engineer Jobs in Calgary

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 Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

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 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.

As a Senior Data Engineer, you will build and maintain data pipelines, collaborate with teams on best practices, and implement data ingestion techniques using AWS technologies.

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

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.

As a Software Engineer 2 - Data Acquisition, you'll design and build data ingestion pipelines, ensuring quality and performance across multiple data domains while participating in code reviews and collaborating with data consumers.

Design and implement data ingestion pipelines, develop reusable components, support observability, and partner with data consumers to enhance data integration.

Lead the design and development of scalable data acquisition systems, architect core components, and mentor engineers while collaborating across teams to fulfill data integration needs.

Develop and enhance data source integrations, improve systems based on metrics and feedback, drive architectural discussions, and participate in on-call rotations to ensure reliability.

Lead the design and development of scalable data acquisition systems, architect core platform components, and mentor engineers while ensuring data quality and system reliability.

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 Software Engineer will manage data collection, develop ingestion pipelines, and work with scientists on AI dataset roadmaps for Speechify's models.

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.

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.

The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.

Lead the development of generative AI tools and scalable data pipelines for the AEC industry, mentoring engineers and collaborating on ML systems.

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.