Top Data Jobs in Calgary

Lead client engagements, drive data solutions business, ensure project profitability, manage team development, and support business development initiatives.

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.

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

As a Senior Data Scientist, you will detect fraud, optimize payments, analyze data via A/B testing, and collaborate with various teams to enhance Lime's payments system.

Design and optimize data pipelines, lead machine learning feature integration, mentor junior engineers, and enforce data governance.

Responsible for developing machine learning models, conducting quantitative analysis, and optimizing workflows to enhance user experience and engagement at The Athletic.

The Data Scientist at Helcim will develop and implement data products, collaborate with stakeholders, improve predictive accuracy, and contribute to MLOps and data governance initiatives.

As a Data Solutions Consultant, you'll design, implement, and test analytic solutions, collaborating with clients and team members to deliver business outcomes.

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 Product Manager at Qohash, you'll lead the development of data-centric cybersecurity solutions, ensuring alignment with customer needs and strategic company goals. Your role includes managing the product lifecycle, collaborating with cross-functional teams, and leveraging AI tools for efficiency.

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.

Lead the development of production-grade machine learning solutions, collaborating with cross-functional teams to solve complex business problems and deliver measurable impact.

The Senior/Lead Data Scientist will develop advanced forecasting models, collaborate with business partners, and guide a team in deploying analytical solutions.

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.

As a UX Researcher, you will lead mixed-method studies, collaborate with teams to prioritize research needs, and disseminate insights to shape product strategy and user experiences.

The Account Executive is responsible for generating revenue, managing customer relationships, and developing business strategies with enterprise-level clients.

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.

As a Data Scientist II, you'll implement AI strategies, advance machine learning, and collaborate to provide actionable insights through data analysis.

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.