Top Data Jobs in Calgary

The Data Engineer develops and maintains data pipelines, supports analysts, and builds solutions for data processing and analysis in a collaborative environment.

Join Quora's data infrastructure team to build and maintain data lakes, pipelines, query engines, and dashboards. Work on scalability, cost and performance improvements, participate in planning and on-call rotations, and contribute to tooling and reliability. Mentorship and training provided for new graduates.

As a Data Analyst, you will optimize the reporting ecosystem, focusing on SSRS and Power BI, ensuring data accuracy and driving modern analytics adoption.

As a Senior Data Engineer at nesto, you will design, build, and optimize data pipelines in Azure and GCP, manage databases, enable BI reporting, and ensure data security and compliance.

The Software Engineer will manage data collection, develop ingestion pipelines, and work with scientists on AI dataset roadmaps for Speechify's models.

The Principal Clinical Data Science Lead will oversee data science methodologies in clinical research, manage teams, and ensure data insights support clinical development.

The Data Engineer will manage the full data stack, design database architecture, build ETL pipelines, create data integrations, and oversee reporting and data quality.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

As a Data Analyst in Business Intelligence, you will analyze data, develop insights, and provide recommendations to assist internal teams and improve decision-making processes within StackAdapt's advertising platform.

The Data Technical Analyst at StackAdapt will advise clients on audience targeting, oversee technical setups, optimize data integrations, and troubleshoot performance issues while staying informed on industry trends.

The Staff Data Scientist will lead the data science team in developing ML models, mentoring staff, architecting MLOps infrastructure, and collaborating with executives to drive high-value data initiatives.

Design, scope, and deliver modern analytics solutions: lead pre-sales, POCs, architecture, implementation, testing, and client relationships. Manage teams, mentor juniors, and support sales and delivery activities.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

The role involves leveraging data analytics to drive decision-making across product and growth teams, analyzing user engagement, designing experiments, and building scalable data frameworks.

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 Account Executive will drive business growth by managing enterprise-level client relationships, generating revenue, and collaborating with channel partners, while maintaining customer engagement throughout the sales process.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

Lead a team of data analysts to improve product performance insights, establish experimentation practices, and enable self-service insights for the company.

Design and optimize data pipelines, lead machine learning feature integration, mentor junior engineers, and enforce data governance.

The Data Architect will lead data storage strategy and design across a multi-product SaaS platform, ensuring data architecture unification, optimizing data storage, and supporting AI initiatives while mentoring engineers for self-sufficiency.

Lead client engagements, drive data solutions business, ensure project profitability, manage team development, and support business development initiatives.

Lead the design and delivery of scalable data solutions, driving data strategy and supporting business users in insights delivery through mentorship and best practices.

Develop and implement advanced analytics models for assortment optimization and inventory management. Build predictive models and work with large datasets to improve efficiency. Collaborate with teams and communicate insights effectively.

The Senior Software Engineer I will lead projects, mentor engineers, and design scalable solutions while developing features, APIs, and collaborating in an Agile environment.