Top Data Jobs in Calgary

As a Code Reviewer, you will audit SQL responses, ensure adherence to guidelines, evaluate code correctness, and provide QA feedback.

Review evaluations of AI-generated R code by annotators, ensuring compliance with quality guidelines and providing feedback for improvement.

Review and audit evaluations of AI-generated JavaScript code for accuracy and functionality, providing feedback to ensure high standards are met.

As a Staff Data Engineer, you'll design, develop, and maintain data systems, tackle data challenges, lead projects, and mentor engineers, driving innovation and data integrity at NerdWallet.

The Data Operations Engineer will optimize and maintain data labeling workflows, automate tasks, and ensure quality in data annotation processes.

As a Senior Software Engineer, you will create data pipelines for training and evaluating Waabi's autonomous platform, ensuring quality code and collaborating with a multidisciplinary team.

The Manager of Financial Data, Planning & Analytics oversees financial planning and analysis, modernizes financial systems, and drives automation in reporting and forecasting, while acting as a strategic partner to leadership.

The role involves designing and implementing data ingestion pipelines, developing components for data transformation, improving platform observability, and collaborating with data consumers.

As a Senior Data Engineer, you will build scalable data pipelines, manage cloud infrastructure, and support analytics and data science teams, leveraging various technologies to deliver impactful solutions for clients.

Data Engineers at Datatonic optimize data solutions using Google Cloud technologies, build scalable data pipelines, and collaborate with analytics teams to deliver impactful solutions.

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.

Review AI-generated Java code evaluations by data annotators, ensuring quality standards, correctness, and functionality while providing feedback on ratings.

The Data Analyst will design data structures, map data flows, and build scalable models while partnering with stakeholders to provide reliable insights and tools. Responsibilities include analytics engineering, metric development, and data exploration using SQL and BI tools.

As a Data Architect, design and implement scalable data architectures, lead technical strategy, and optimize data processes for client projects.

The Senior Data Engineer will design and implement data architectures, lead strategies for data ecosystems, and mentor teams while ensuring compliance and performance.

The Managing Consultant leads project work in energy consulting, engaging clients, overseeing teams, and providing expertise in data centers and energy policy.

As a Data Analyst at Guidewire, you will work on predictive modeling and data analysis, collaborating on multiple projects to drive innovation in the P&C insurance industry.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

As a Senior Data Scientist, analyze large datasets to uncover insights on AI model behavior, design experiments, and build statistical frameworks for evaluations.

The Senior Data Scientist will analyze data to enhance rider retention through experimentation and collaboration across teams. Responsibilities include defining metrics, delivering data-driven solutions, and conducting deep analyses on rider engagement.

As a Data Infrastructure Engineer, you'll develop solutions for massive data orchestration, support ML deployment, and lead technical directions for the team.

As a Data Analyst, you will lead analytics projects, derive actionable insights from data, and collaborate with teams to improve member experiences.

Lead the strategy of League's Data & AI platform, manage product teams, drive AI innovations, and enhance personalized user experiences in healthcare.

The Director of Community Engagement is responsible for building relationships with communities for AI data center projects, focusing on engagement strategies, communication, and collaboration with various teams.

This role involves designing and implementing scalable data architectures, optimizing data systems, and collaborating with various teams on data-related projects.