Top Data Jobs in Calgary

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 Data Analyst will analyze complex data to provide insights for Finance and Operations, build dashboards using Looker, and optimize data quality.

The Senior People Science and Insights Analyst will consult on analytics, refine data, build predictive models, and translate complex data into executive insights, driving organizational decision-making.

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

Lead a team of data engineers and analysts, define the data engineering roadmap, oversee data infrastructure, ensure analytics delivery, and establish data governance standards.

Design, develop, and optimize data infrastructure, focusing on GCP, ETL/ELT workflows, and data governance, while collaborating with cross-functional teams.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.

Design, build, and deploy ML solutions for recommendation systems and predictive modeling, translate insights for senior leadership, mentor junior members.

As a Senior Data Analyst, you will shape performance measurement, support growth marketing through A/B testing and customer analysis, and develop data models.

The Analytics Engineer will design data models, build pipelines, and ensure data quality to support AI evaluation and insights.

As a Data Scientist, you will analyze complex datasets, build statistical frameworks, and collaborate with ML researchers to improve AI evaluation systems.

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

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

As a Senior Data Analyst, you will support Finance and Payments teams by building SQL/dbt models, creating Looker dashboards, and providing actionable financial insights.

The Engineering Manager will lead cross-functional teams of engineers, focusing on building high-performing environments, managing technical delivery, fostering team growth, and ensuring data-driven strategies.

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

Manage a team of cloud engineers and architects, oversee data delivery, lead technical discussions, and mentor team members while ensuring technical accountability on projects.

Lead the development of data products at Procore, leveraging construction data to create predictive models and insights. Collaborate across teams to define product strategy, data quality standards, and success metrics, while utilizing AI tools effectively.

As a Senior Software Engineer in Data Acquisition, you'll design and build scalable data ingestion pipelines, ensuring performance, quality, and governance across various data domains and ingestion patterns.

The Robot Data Operations Analyst will control robots, evaluate performance, provide quality assurance, and document observations safely in an R&D setting.

Seeking a Senior Software Engineer to design, build, and optimize the core components of a high-performance database system focusing on internal database workings, performance optimization, and reliability solutions.

As a Senior Software Engineer, you will design and implement backend components for a distributed vector database, optimize performance, and collaborate on real-time analytics systems.

The Senior Systems Engineer will manage technical relationships, oversee pre-sales evaluations, and collaborate with engineering to define product requirements. They will also develop sales strategies and provide customer proposals while demonstrating expertise in storage products and architectures.

The Account Executive will drive sales growth by developing business with enterprise customers, managing relationships, and delivering proposals aligned with their needs, while collaborating with channel partners.

The role involves owning product feature development, participating in system design, and maintaining software performance in an agile setting.