Top Data Jobs in Calgary

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.

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.

As a Data Analyst, you will help understand player behaviors using SQL, perform analyses, create dashboards, and promote data-driven decisions.

The Data Analyst will engage in preparing and understanding data for predictive modeling, collaborate with cross-functional teams, create datasets, and manage data assets with an aim to innovate and drive productivity.

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.

The Data Platform Marketing Manager will lead marketing strategies for DoiT's data lake and Snowflake optimization business, aiming to drive growth and impact.

The Senior Product Data Analyst will analyze data to support product development, present insights, and drive data-driven decisions for marketing campaigns.

You will architect and develop new features for SELECT, focusing on cost management, UI components, data visualization, and improving application performance.

The role involves owning the complete data science lifecycle from analysis to model deployment, focusing on logistics-related predictive models and collaborating with an ML Engineer.

The Principal Data Strategist will lead data strategy engagements, aligning data initiatives with business goals, facilitating stakeholder alignment, and designing governance frameworks while driving account growth and advancing the practice within Caylent.

Seeking an experienced Data Scientist to develop forecasting models, collaborate with business partners, and lead end-to-end model development using PySpark, Databricks, and Azure.

Develop and implement fraud detection models using machine learning techniques, analyze data for patterns, and optimize existing models for risk management.

The Junior Data Scientist will design and develop data models using Machine Learning and Analytics for trading and compliance in finance.

Analyze and optimize pricing, billing, and deployment metrics. Collaborate across teams to ensure data-driven decisions and improve enterprise readiness and cost efficiency.

Design, train, and deploy ML and NLP models (including custom transformers) using modern tooling; prepare and transform large datasets; monitor production pipelines; communicate results to stakeholders; ensure model reliability, explainability, and ethical alignment.

As a Data Scientist/Senior Data Scientist, you will design, build, and deploy predictive models using large datasets to enhance Kindsight's fundraising tools, while collaborating with cross-functional teams and mentoring junior staff at the senior level.

Design and build scalable backend services for a trading platform, focusing on data ingestion, processing pipelines, and APIs while ensuring system reliability and integrating with various teams.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

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

As a Senior Data Engineer, you will build scalable data pipelines, manage cloud infrastructure, and support analytics and data science teams, leveraging various technologies to deliver impactful solutions for clients.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

Design, build, and optimize core components of a high-performance database system, focusing on internal workings and performance improvement.

Responsible for transforming complex data into actionable insights, building dashboards, and applying statistical rigor to financial planning while collaborating with Finance teams.

The Data Engineer will design and deliver scalable streaming data pipelines, mentor team members, ensure data governance, and implement technical excellence in real-time data solutions, fostering collaboration across teams.