Top Data Jobs in Calgary

As a Data Engineer, you'll design and maintain data pipelines, ensuring data quality and efficiency while collaborating with cross-functional teams to support data-driven decisions.

As an Engineering Manager at Hive, you will manage data engineering teams, drive initiatives, coach employees, recruit engineers, and improve team productivity.

Lead global positioning and go-to-market strategies for connectivity products in AI data centers, emphasizing high-speed low-latency technologies.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

The role involves designing data pipelines and models for Stripe's Growth and Marketing teams, ensuring data integrity and performance metrics. Collaboration with various teams to enhance data visibility and support is crucial.

As the first Data Analyst, you'll build data infrastructure, analyze product performance, create reports, and collaborate across teams to drive data-driven decisions.

As a Senior Data Developer, you will create infrastructure-as-code pipelines, automate file processing, develop ETL solutions, and generate reports and analytics to support various departments.

Design and develop scalable data infrastructure for AI platform, optimize database performance, create data pipelines, and mentor junior engineers while collaborating across teams.

Lead strategy and execution of Marketing Automation initiatives, partnering with teams to unify customer data and enhance engagement through data-driven insights.

As a Staff Software Engineer on the Data Science team, you'll develop and scale data science tools and machine learning models for the company's marketing intelligence platform, ensuring reliability and performance in data-driven solutions.

As a Staff Software Engineer on the Data Science team at Northbeam, you'll design and implement data-driven solutions, scale data products, and develop machine learning models, directly impacting the company's core product.

The Senior Data Developer will enhance data pipelines, optimize tools, and collaborate with teams to improve the Company Data System and analytics features.

Lead and grow a global engineering team, drive technical strategy, and ensure alignment between client goals and engineering solutions in a remote setting.

Develop and enhance data source integrations, improve systems based on metrics and feedback, drive architectural discussions, and participate in on-call rotations to ensure reliability.

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 Senior Data Engineer will design and optimize data solutions using Microsoft Fabric, implementing scalable data pipelines, models, and ensuring performance tuning of data workloads.

The Finance Data Analyst will collect, validate, and prepare financial data, develop reports for decision-making, and collaborate on data governance.

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

The Senior Product Manager will develop a strategic roadmap for real-time data capabilities, working closely with clients and cross-functional teams to enhance operational efficiency and customer experience in cloud environments.

The FP&A Manager is responsible for leading budgeting, forecasting, and financial model development, while driving process improvements through automation and AI tools. The role involves collaborating with various teams to enhance decision-making based on data-driven insights.

As a Data Engineer at Influur, you will build and optimize data infrastructure, design ETL and ELT pipelines, and ensure data quality while collaborating with cross-functional teams.

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 Data Engineer at Butter Payments will architect data systems, ensure high-quality data ingestion and transformation, and collaborate with ML teams to optimize workflows.

As a Staff Data Lake Engineer, lead the development of an enterprise data platform, mentor junior engineers, and ensure technical execution in data architecture and strategy while collaborating across teams.

Lead the design and development of scalable data acquisition systems, mentor engineers, and integrate diverse internal and external data sources. Architect platform components for high-volume data processing with a focus on reliability and governance.