Hybrid Data Engineer: Cloud Pipelines & Lakehouse

Canadian Cancer Society; Calgary; Hybrid; CAD 83,000 - 93,000; Full time

Benefits offered by this job

Hybrid Work Model

Job summary

The Canadian Cancer Society is seeking a Data Engineer to design, develop, and optimize data pipelines and data platform services. You will work with cross-functional teams to implement ETL/ELT workflows, govern data securely, and enable data-driven decision making across the organization.

Reporting to the Senior Manager, Data Engineering & Services, you will build scalable data solutions using Microsoft Fabric, Spark, and Azure services, with a focus on performance, reliability, and cost

Qualifications

• Bachelor’s or Master’s degree in computer science or related field.
• 3–5 years of relevant data engineering experience.

Responsibilities

• Design, develop, maintain, and optimize data pipelines and data solutions.
• Work with business and technical teams to ensure data governance and security alignment.
• Implement data ingestion, ETL/ELT workflows, and data transformations in Fabric.
• Develop data models and lakehouse architectures; optimize for performance and cost.
• Build reusable datasets for reporting and analytics; collaborate on data integrations.

Skills

Microsoft Fabric

Apache Spark

Python

SQL

Azure

Education

Bachelor’s or Master’s degree in Computer Science

Job description

The Canadian Cancer Society is seeking a Data Engineer to design, develop, and optimize data pipelines and data platform services. You will work with cross-functional teams to implement ETL/ELT workflows, govern data securely, and enable data-driven decision making across the organization.

Reporting to the Senior Manager, Data Engineering & Services, you will build scalable data solutions using Microsoft Fabric, Spark, and Azure services, with a focus on performance, reliability, and cost