Top Data Jobs in Calgary

The Data Engineer will build and maintain data pipelines using Microsoft Fabric and Python, ensuring data quality and supporting analytics needs.

Develop and maintain data solutions and AI applications, optimize pipelines, and collaborate with cross-functional teams to deliver impactful results.

The Master Data Analyst manages the implementation of data in SAP, ensures compliance with data standards, collaborates with cross-functional teams, and supports operational enhancements through data analysis and optimization recommendations.

As a Senior Data Analyst, you will analyze marketing performance, implement multi-touch attribution, and provide insights for strategic decisions.

Design, train, and deploy ML and NLP models (including custom transformers) using modern tooling; prepare and transform large datasets; monitor production pipelines; communicate results to stakeholders; ensure model reliability, explainability, and ethical alignment.

The BI Data Analyst will lead data analytic projects, support Power BI usage, manage user permissions, automate data processing, and collaborate with stakeholders to enhance data quality and insights.

Provide advisory, oversight, and validation of governance, risk, and control activities for enterprise Data and AI governance. Support risk assessments (PSPRA, RCRA), maintain PRC libraries, advise on KRIs, collaborate with 1LOD and 2LOD partners, and prepare governance reporting and guidance.

Lead the development and execution of platform strategy initiatives, focusing on M&A opportunities, pricing strategies, and cross-functional collaboration to enhance Autodesk's platform offerings.

The Container Optimization Marketing Manager will strategize and execute marketing initiatives to drive growth and pipeline for DoiT's Kubernetes solutions, ensuring competitive market positioning and measurable revenue impact.

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.

The Senior Data Architect will develop the enterprise data architecture, focusing on data integration, governance, and enabling data products for analytics and AI/ML across Azure and GCP.

The role involves executing control testing for Data Governance and AI Governance, providing risk and control advisory, performing assessments, and supporting governance efforts.

Lead the development of stochastic and optimization models in the energy sector, focusing on risk analysis and scenario simulation while managing cross-disciplinary teams and mentoring junior members.

The Senior Data Engineer will own and evolve data pipelines, collaborate with teams for data models and pipelines, optimize ETL processes, and implement data storage solutions.

Responsible for architecting data solutions, leading project teams, developing data strategies, and collaborating with clients to provide data analytics solutions.

Seeking a Data Engineer to design and maintain ETL pipelines, data models, and infrastructure for analytics, working with enterprise clients.

The Senior Data Scientist will develop growth strategies, build predictive models, and foster a data-driven culture while leveraging expertise in ML and statistical analysis.

As a Data Analytics/ Data Engineer New Grad, you'll work directly with clients to implement analytics solutions, design data models, create complex queries, and develop scalable data management architectures while ensuring project deadlines and quality standards are met.

The Production Data Administrator validates and enters timecards for Technicians, ensuring accurate pay, document control, data validation, and supports expense management.

The Data Operations Specialist transforms raw data into structured information through annotation, quality control, vendor management, and operational processes.

The role involves assisting customers with evaluations, system configurations, and installations, defining product requirements, and leading technical responsibilities in sales. The engineer will create architecture blueprints, support sales strategies, and help develop field engineers.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

The Senior Geo Data Scientist will develop advanced machine learning models for geospatial data, build scalable data pipelines, and enhance model performance for mineral exploration.

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.

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.