Staff Data Engineer

Designs, architects, and implements scalable data pipelines and models on Azure and Databricks. Collaborates with teams to ensure data protection and deliver data solutions for analytics and ML.

Design and implement scalable data pipelines and models using Azure and Databricks for a Canadian energy company. Requires 6-8 years of experience in data engineering and cloud environments.

About the Company Our client is a leading Canadian energy organization with a strong presence across Ontario. They operate critical infrastructure that supports millions of customers and drives economic growth. Why Work Here Our client is engaging in ongoing transformation and investing in cutting-edge technologies and modernizing operations to meet the

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world‑class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our...

Design and implement scalable data pipelines and models using Azure and Databricks for a Canadian energy company. Requires 6-8 years of experience in data engineering and cloud environments.

Seeking a Staff Data Engineer to architect and optimize the company's data ecosystem, including pipelines, databases, and warehousing strategies, while mentoring other engineers.

A global financial services corporation is seeking a Staff Data Engineer – Agentic AI in Toronto, Ontario. This individual contributor role requires over 10 years of experience with LLM systems and distributed systems, focusing on designing and implementing autonomous AI solutions. You will drive technical direction, influence architecture patterns, and...

Remote Staff Data Engineer architecting health data, optimizing architecture, mentoring senior engineers, and solving complex data challenges.

Remote Staff Data Engineer architecting health data, optimizing architecture, mentoring senior engineers, and solving complex data challenges.