Top Data Jobs in Calgary

As a Senior Data Engineer, you'll design scalable data models, manage cloud pipelines using Google Cloud services, and optimize data architecture while collaborating with cross-functional teams.

Maintain and improve data processes for a MedTech market-intelligence product: review and extract insights from news, hunt new company/data sources, ensure high-quality recurring processes, use LLMs to extract key company/device information, and deliver on timelines for data tasks and projects.

The role involves building and scaling data infrastructure for multimodal AI systems, developing high-throughput data pipelines, and collaborating with ML researchers and product teams to enhance data systems.

As a Senior Software Engineer, you will own data framework integrations, contribute to high-performance database engineering, and enhance developer experience in JVM-based environments.

In this role, you will develop data pipelines, dashboards, and conduct A/B tests while providing insights for strategic decisions across teams.

As an Integration Consultant, you'll scope, design, implement, and test integration solutions across enterprise platforms, ensuring a seamless integration experience for various business systems.

The Data Architect will design and govern data models to support analytics and AI initiatives, ensuring data quality and collaboration across teams.

Designs and develops AI tools and machine-learning models, conducts research and testing, and integrates scalable solutions while translating complex data for executive stakeholders.

Analyze player behavior and drive product innovation through data-driven insights. Collaborate with teams to design and evaluate experiments, maintaining data quality and delivering meaningful insights.

Lead the migration of Oracle databases to AWS, ensuring minimal downtime and performance optimization. Responsibilities include database administration, schema conversion, and collaboration with various teams for smooth transitions.

The Enterprise Data Architect will design and lead AmeriLife's data architecture, creating scalable data models and data mapping standards for analytics and AI workloads.

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

The Senior Data Scientist will develop models and analyses for risk and revenue decisions, collaborating with various teams to optimize funding for eCommerce.

The Staff AI Engineer will design, implement, and maintain machine learning algorithms and systems, integrating AI components into applications and collaborating with cross-functional teams using cloud technologies and DevOps principles.

Lead and manage a software engineering team focused on data acquisition, ensuring scalable and reliable data ingestion systems while driving technical excellence and collaboration across teams.

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.

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

The role involves designing data strategies, developing scalable pipelines for human labeling, and researching human preferences for data-driven AI model enhancements. It includes publishing research and improving model alignment and efficacy through human and synthetic data techniques.

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.

The Tech Lead, Data Engineer will design and implement CMG's Medallion 2.0 data platform, collaborating with teams to ensure optimal data architecture and quality.

The Data Engineer II will design and scale a modern data platform, focusing on building scalable data pipelines, support AI use cases, and ensure data quality.

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.

As a Data Scientist, you will analyze complex datasets, build statistical frameworks, and collaborate with ML researchers to improve AI evaluation systems.

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

As a Senior Data Engineer, you will define and own data pipelines, design schemas, partner with scientists, and improve data infrastructure for Merge Labs' molecular optimization platform.