Top Data Jobs in Calgary

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

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 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.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

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.

Lead strategic growth for Power & Data Centers by developing relationships with key accounts, executing business strategies, and managing operations. Drive new business initiatives and ensure customer satisfaction through collaboration with cross-functional teams.

As a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

The Account Executive will develop business with enterprise customers, manage sales processes, generate revenue, and ensure customer success. Responsibilities include customer relationship management and proposal development.

As a Senior Systems Engineer, assist customers with installations, define product requirements, create architecture blueprints, and support a technical sales strategy.

The Data Quality Analyst analyzes data quality across systems, collaborating with stakeholders to implement data quality rules and conduct root cause analysis of issues.

The Data Engineering Expert leads the design and implementation of cloud-based Master Data Management solutions and oversees data products, ensuring security and efficiency. They collaborate with various teams and drive the adoption of best practices in data integration and governance.

As a Senior Data Engineer, you will build and maintain data pipelines, collaborate with teams on best practices, and implement data ingestion techniques using AWS technologies.