Job Title: Data Engineer

Vacancies: This posting is for (2) current vacancies

Location: Toronto, ON | Vancouver, BC | Ottawa, ON | Calgary, AB | Halifax, NS | St John's, NL | Kelowna, BC| Prince George, BC | Montreal, QC | Québec, QC (Detailed office location information can be found by visiting this link: https://cancer.ca/en/contact-us)

Work Model: Hybrid Work Model

Salary Band: 5 ($83,000 - $93,000 CAD)

MAKING AN IMPACT

Reporting to the Senior Manager, Data Engineering & Services, the Data Engineer is involved in designing, developing, maintaining and optimizing data platform services, meta-data driven data pipelines and data solutions using the organization's data platforms and technologies.

• Deliver scalable, automated, and maintainable data pipelines, integrations, and services using modern cloud technologies and platforms.
• Partner with business and technical teams to design and implement data solutions that adhere to security best practices and align with data governance standards.
• Support a data-driven, innovation-focused engineering environment by applying modern design patterns and leveraging emerging technologies to improve how data is integrated, governed, and utilized across the organization.

WHAT YOU'LL BE DOING:

1. Data Engineering & Platform Development

Data Pipelines:

• Design, implement, and optimize data ingestion and transformation processes using Microsoft Fabric (Data Pipelines, Dataflows, and Notebooks)
• Develop end-to-end ETL/ELT workflows for structured and unstructured data
• Automate and orchestrate data workflows for efficiency and reliability

Data Lakehouse:

• Implement Data Lakehouse architecture leveraging modern data standards
• Design and optimize data models using medallion architecture
• Optimize storage and processing solutions for performance and cost-effectiveness

Data Transformation:

• Develop data transformations using Apache Spark in Fabric Notebooks for cleansing, aggregation, and enrichment
• Optimize Spark workloads, queries, and configurations for performance tuning
• Support legacy data platforms and integration processes as required

Data Analytics:

• Build reusable, high-quality datasets and data assets for reporting and insights

2. Integrations & Data Pipelines

Data Workflows:

• Develop and maintain data integrations with Azure data services, external systems, and reporting platforms
• Implement data ingestion processes across batch and real-time workflows
• Develop transformation framework to support data movement and processing across systems
• Automate data workflows and integration processes to improve efficiency and reliability

Collaboration and Documentation:

• Coordinate with business and technical teams to translate integration requirements into scalable data solutions
• Support data consistency and relationships across systems through integration and data processing workflows
• Develop and maintain integration documentation, including data mappings and data models

3. DevOps & Support

Build and Release Management:

• Develop and maintain CI/CD pipelines using Azure DevOps for data platform solutions
• Support source control, branching strategies, and automated deployment processes
• Contribute to infrastructure as code, orchestration, and deployment of data pipelines and services

Operations and Reliability:

• Implement monitoring, logging, and alerting for data pipelines and integrations
• Support performance optimization and operational reliability of data solutions
• Support data lifecycle processes including archiving, backup, and replication across key platforms
• Participate in Agile development processes, including sprint planning and iterative delivery

4. Data Governance & Quality

Governance and Security:

• Apply data governance, compliance, and data quality standards when developing and delivering data pipelines and integrations
• Support lineage and metadata management using tools such as Microsoft Purview
• Implement and support data security controls aligned with organizational compliance standards

Data Quality:

• Perform data quality validation and monitoring across data pipelines and datasets
• Support adherence to established data policies, standards, and best practices

5. Other

• Contribute to our culture of diversity, inclusion, belonging and equity (DIBE) by ensuring that all staff feel represented, valued, and heard across all aspects of their identity, including gender, age, religion, ethnicity, nationality, race, and sexuality.
• Other duties as assigned

QUALIFICATIONS

Education / Experience:

• Bachelor's or Master's degree in computer science, information Systems, Data Engineering or related disciplines
• Relevant certifications preferred (e.g., Microsoft Certified Frabric Analytics Engineer Associate, DP-203 Azure Data Engineer Associate)
• 3-5 years - similar or related general experience in progressively more senior positions

Technical Skills:

• Strong proficiency in Microsoft Fabric platform components (Data Pipelines, Notebooks, Lakehouse, OneLake)
• Expertise in Apache Spark, data pipelines and data transformation frameworks
• Knowledge of data architecture and data modeling (Delta Lake architecture, Lakehouse design patterns, and medallion design pattern)
• Expertise in SQL for data querying, transformation, and pipeline development
• Proficiency in Python for data engineering, automation, and pipeline development
• Experience with software engineering for cloud platforms (Python, serverless)
• Experience with system integrations, APIs, and data pipelines across cloud and enterprise systems
• Experience working with CRM platform data and services (Salesforce preferred)
• Others may apply

Operational Excellence:

• Familiarity with DevOps practices including CI/CD pipelines, version control, and automation frameworks
• Experience implementing monitoring, logging, and alerting practices to ensure reliability and performance of data pipelines and services
• Commitment to engineering best practices including code quality, testing, documentation, and continuous improvement of data workflows
• Experience with scripting languages for automation and operational tasks
• Experience developing and maintaining automated testing frameworks for data pipelines and solutions

Analytical Skills / Communication Skills:

• Demonstrated ability to align technical deliverables with organizational strategy and business goals
• Strong troubleshooting, performance optimization, and problem-solving skills
• Strong verbal and written communication skills
• Ability to coordinate with technical and non-technical stakeholders effectively
• Thrives in a fast-paced, dynamic environments with shifting priorities
• Bilingualism (French/English) is highly preferred, with French being an asset due to the organization's nationwide operations and the need for effective communication across various regions.

WHAT YOU CAN EXPECT FROM US:

CCS provides impactful opportunities to transform the lives of Canadians affected by cancer. We are devoted to creating an inclusive workplace that celebrates diverse experiences and skills, encouraging all qualified candidates to join us. Our inspiring culture is rooted in our core values and commitment to meaningful change: COURAGEOUS UNITED CARING RIGOROUS

We offer a competitive salary, excellent benefits, including paid parental leave, family sick time, and health insurance-and a fulfilling work environment where your efforts make a meaningful impact daily.

COME AS YOU ARE

At CCS, we celebrate individuality and the strength of diversity. We are committed to fostering an inclusive and equitable workplace that empowers everyone. We encourage applications from all qualified candidates, including those from equity-deserving groups such as BIPOC, 2SLGBTQI+ communities, individuals with disabilities, veterans, and others who contribute to the richness of our organization. Together, we unite Canadians to shape the future of cancer care.

HOW TO APPLY:

Qualified candidates are invited to submit their resume, cover letter and salary expectations by August 30, 2026.

We thank all candidates for their interest and advise that only those selected for an interview will be contacted.

CONNECT WITH US:

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