Top Data Jobs in Calgary

The Staff Data Engineer will design data pipelines, optimize ETL processes, and collaborate with various teams to enhance data-driven solutions for senior living technology.

Lead enterprise reporting strategy and delivery, acting as the subject matter expert for key business KPIs. Collaborate with cross-functional teams and manage relationships with senior executives to ensure accurate reporting and continuous improvement.

As a Data Engineer, you will design and build data infrastructure, ensuring data continuity, modernizing data systems, and collaborating with teams to optimize data workflows.

The Junior Data Infrastructure Engineer will manage and optimize AWS infrastructure, automate workflows, and support data engineering tasks to enhance BESS site performance.

The Staff Data Analyst partners with teams across Marketing, Sales, and Customer Success to optimize resource deployment, analyze performance, and drive actionable insights supporting revenue goals.

Design and build data architectures, oversee ETL/ELT pipelines, collaborate with stakeholders to optimize data usage, and implement data quality frameworks.

As a Senior Product Data Analyst, you will provide strategic data insights to the Product team, supporting decision-making through data analysis and fostering data literacy.

Design and manage distributed data systems for processing and transforming datasets for AI model training, ensuring data quality and scalability.

Join VAST Data as a Senior Software Engineer to design and implement backend components for a scalable, AI-native vector database, focusing on low-level systems programming and distributed computing.

As a Software Engineer on Glean's Data Foundations team, you'll build and scale data ingestion connectors, transforming unstructured content into structured data while ensuring system reliability and security throughout the data processing pipeline.

Lead Data Scientist responsible for driving measurable outcomes through experiments, data analysis, and creating metrics to track performance. Collaborate with engineering for productionizing models and enhancing recommendation systems using AI technologies.

The Data Analyst for Risk will analyze and report on fraud and risk data, develop insights, build dashboards with Looker, and improve risk processes.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

Lead strategic data modernization for financial services clients, defining architecture and implementation plans while guiding teams and advising executives on data strategy.

The Director of Data Strategy will develop and execute a data strategy, ensuring data quality and governance across the organization, fostering collaboration among various departments for improved analytics and business outcomes.

The Principal Data Architect will design and evolve enterprise data architecture to support business growth and AI integration, ensuring a secure and efficient data ecosystem while collaborating with various teams to enhance data quality and governance.

The analyst will perform data mining, conduct research on backgrounds, prepare visual aids, and analyze patterns for investigations into insurance fraud.

As a Founding Senior Data Engineer, you will build the analytics foundation, design data pipelines, track metrics, and collaborate with teams for data-driven decisions.

The Senior Data Analyst will analyze gameplay data and A/B tests, build dashboards in Tableau, and collaborate with teams to drive product strategy and improvements.

The Manager of Financial Data, Planning & Analytics oversees financial planning and analysis, modernizes financial systems, and drives automation in reporting and forecasting, while acting as a strategic partner to leadership.

As a Senior Data Engineer, you'll build developer tools to enhance the productivity of data analysts and scientists, lead platform initiatives, and collaborate across teams for improved data workflows.

As a Staff Data Engineer, you'll design, develop, and maintain data systems, tackle data challenges, lead projects, and mentor engineers, driving innovation and data integrity at NerdWallet.

The Staff Data Analyst will enhance data quality across Engineering and Research, lead cleanup efforts, utilize data extraction tools, and translate findings into actionable insights for diverse audiences.

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 Data Architect, design and implement scalable data architectures, lead technical strategy, and optimize data processes for client projects.