Top Data Jobs in Calgary

The Staff Data Scientist will lead the data science team in developing ML models, mentoring staff, architecting MLOps infrastructure, and collaborating with executives to drive high-value data initiatives.

The Data Engineer develops and maintains data pipelines, supports analysts, and builds solutions for data processing and analysis in a collaborative environment.

Lead and coordinate client legacy data integration into TELUS Health systems. Oversee conversion tasks, ensure data quality, run workshops, identify gaps, propose process changes, escalate issues, prioritize conversion work, and report progress and risks to project management.

The Staff Data Product Manager will unify data architecture, lead product strategy for AI-powered data products, and ensure rapid delivery of innovative solutions for real estate agents. This role emphasizes data product management, AI capabilities, and deep understanding of real estate data compliance.

The Senior Data Engineer designs, develops, and supports databases for IVR systems, ensuring their stability, performance, and scalability while collaborating across teams to optimize data storage and availability.

Design, build, and maintain scalable batch and streaming data pipelines and domain-oriented data models using dbt and cloud warehouses. Ensure data quality, documentation, and usability for analytics, ML, and reporting while collaborating with Product, Analytics, and ML teams.

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 architectural design of machine learning systems, develop high-impact models, and mentor junior data scientists while ensuring data transparency and ethical AI practices.

The Staff Data Engineer will define the architecture of Syndio's data platform, build data pipelines, and enable AI-driven decision workflows across the organization.

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.

Lead and deliver high-value data, analytics, automation, and AI initiatives using Python/R and Databricks. Partner with commercial stakeholders to translate business needs into scalable solutions, build analytics products and visualizations, ensure data governance, and drive adoption to realize measurable business outcomes.

Lead the development of a data and AI platform, translating business needs into actionable requirements while guiding a product team and collaborating with cross-functional partners.

The AML Data Analyst supports AML operations through data analysis, reporting, and system insights to enhance financial crime risk management and ensure data integrity.

Use client data to build predictive models, segmentation, and CLV/churn solutions. Prepare and clean large datasets, implement MLOps pipelines, deploy and monitor models, and communicate insights to stakeholders to drive claims-related business decisions and personalization.

The role involves defining and executing the marketing strategy for Stripe's Tax and Data products, leading a team, communicating cross-functionally, and using data insights to drive growth.

As a Product Manager, you will manage the development of data products focusing on machine learning and computer vision, collaborating with teams and clients to innovate solutions.

The Data Architect designs and maintains scalable data systems, aligning with architecture standards and collaborating with stakeholders to meet business needs. Responsibilities include establishing data models, ensuring solution quality, and guiding data engineers.

As a Claims Analytics Data Scientist, you will improve claims efficiency by analyzing data, developing analytic solutions, and communicating findings to influence decision-making.

The Sales Executive will develop and close IT services opportunities in Alberta's public sector, focusing on health authorities and government agencies. Responsibilities include managing client relationships, navigating procurement processes, and achieving sales targets.

As a Senior Data Scientist, you will develop large-scale ML and GenAI products, manage project lifecycles, and collaborate with business leaders to solve complex problems.

Lead design and implement a scalable Medallion lakehouse on GCS and Databricks. Build and govern ingestion and transformation pipelines (Astro/Airflow, PySpark, Delta Live Tables), apply domain-driven data modeling, manage Unity Catalog access and lineage, collaborate with analytics and vendors, and proactively surface risks with clear documentation.

The Data Reliability Engineer will enhance the resilience and scalability of data infrastructure, focusing on automation and reliability. Responsibilities include managing data pipelines, operating Kubernetes clusters, and defining observability standards.

As a Software Engineer, you will create tools and pipelines for AI development, manage data solutions for ML teams, and ensure high-quality code.

Execute design and operating effectiveness testing for data and AI governance controls, perform walkthroughs and artifact analysis, identify and document control issues, and provide risk-based advisory support to business, technology, and risk partners to improve control design and governance practices.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.