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.

The role involves leading a Product Management team during maternity leave, ensuring delivery excellence and hands-on contribution to client engagements, with a focus on coaching, risk management, and client relations.

As a Staff Data Scientist, you will develop ML models and analyze broadband data to enhance network intelligence and subscriber experience at Calix.

As a Senior Data Scientist, you will analyze broadband telemetry data, develop ML models, collaborate with teams, and communicate insights while applying advanced analytics techniques to improve network intelligence and subscriber experience.

Develop and optimize data pipelines for reports and analytics, ensuring data quality and compliance with standards while collaborating with engineers for CI/CD processes.

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.

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.

As a Software Engineer 2 - Data Acquisition, you'll design and build data ingestion pipelines, ensuring quality and performance across multiple data domains while participating in code reviews and collaborating with data consumers.

Design and implement data ingestion pipelines, develop reusable components, support observability, and partner with data consumers to enhance data integration.

Lead the design and development of scalable data acquisition systems, architect core components, and mentor engineers while collaborating across teams to fulfill data integration needs.

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

As a Staff Data Scientist, you'll lead the analytical strategy for account transfers by building data products, driving operational efficiency, and mentoring team members to improve client experiences and retention.

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

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 Scientist will solve real-world problems utilizing data science techniques and build end-to-end data pipelines, collaborating with multiple teams to deliver solutions.

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 Senior Data Privacy & AI Analyst is responsible for developing and maintaining data privacy policies, ensuring compliance with laws, conducting audits, and training staff.

Lead the design and development of scalable data acquisition systems, architect core platform components, and mentor engineers while ensuring data quality and system reliability.

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.

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

Lead and mentor a team of analysts to elevate analytical quality, executing complex analyses and translating data into actionable business insights for pharma clients, while ensuring high standards in data hygiene and operational excellence.

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