Top Data Jobs in Calgary

The Business Data Analyst will develop and maintain BI solutions, support reporting, and automate processes while working with cross-functional teams to fulfill business needs.

Lead data and AI transformation programs, partnering with executives to define strategies and deliver modern data platforms and solutions, while driving business growth and ensuring excellence.

Join an AI-driven research project as a Frontend Developer, designing and building user-friendly web applications using modern JavaScript frameworks and strong UI/UX principles.

As a Code Reviewer, you will audit SQL responses, ensure adherence to guidelines, evaluate code correctness, and provide QA feedback.

The Director of Data will lead the evolution of ZayZoon's data platform, managing a team while enhancing data governance and analytics to support business growth.

The Staff Data Scientist will enhance Bitcoin adoption through data analysis, collaboration with teams, and building data foundations for product growth.

The Associate Director of Data & AI will lead transformation programs, drive business value through AI strategies, and oversee modern data platform delivery for major enterprises.

The Data Scientist will analyze data, develop machine learning models, and provide insights for strategic decision-making in a collaborative environment.

Design and build scalable distributed ingestion services; maintain event pipelines and collaborate with multiple teams. Ensure system reliability and improve code practices.

The Data Annotation Specialist will label, rank, audit, and correct machine learning data in French or Quebecois to enhance AI models' performance, ensuring data integrity.

The role involves reviewing AI-generated Kotlin code, ensuring conformity with guidelines, and providing feedback to maintain annotation quality.

Review evaluations of AI-generated R code, ensuring quality standards, validating code functionality, and providing constructive feedback to annotators.

The Code Reviewer will audit evaluations of AI-generated Go code, ensuring quality, correctness, and adherence to guidelines while providing constructive feedback.

Review AI-generated Java code evaluations by data annotators, ensuring quality standards, correctness, and functionality while providing feedback on ratings.

Review AI-generated R code evaluations to ensure quality and correctness. Provide feedback and validate code according to guidelines.

The role involves reviewing AI-generated Swift code evaluations, ensuring compliance with quality guidelines, validating code correctness, and providing feedback to maintain standards.

The role involves reviewing and auditing evaluations of AI-generated Bash/PowerShell scripts by data annotators, ensuring quality guidelines are followed.

The role involves reviewing evaluations of AI-generated Ruby code, ensuring quality, correctness, and adherence to guidelines, while providing feedback.

The role involves reviewing and auditing annotator evaluations of AI-generated Rust code, ensuring quality adherence and providing constructive feedback.

Review and audit evaluations of AI-generated C# code, ensuring accuracy, functionality, and adherence to quality guidelines while providing feedback to maintain standards.

The role involves reviewing and auditing evaluations of AI-generated C/C++ code by annotators, ensuring quality and correctness in code functionality and adherence to guidelines.

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.

This role involves designing and implementing scalable data architectures, optimizing data systems, and collaborating with various teams on data-related projects.

As a Senior Data Analyst, you'll partner with business stakeholders, conduct data analysis, and write complex SQL queries while collaborating in an Agile environment.

The Director of Community Engagement is responsible for building relationships with communities for AI data center projects, focusing on engagement strategies, communication, and collaboration with various teams.