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Added 12 mins ago
T
Senior Spectrum Engineer
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- Full-time
Bachelor's degree in Electrical, Telecommunications, Computer Engineering, or a related technical field; Master's degree preferred.
Added 43 mins ago
Senior AI Engineer
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Toronto, ON
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Senior FPGA Engineer (Hybrid)
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- $100,000 to $150,000 CAD / year
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Added 58 mins ago
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Analyze software defects, implement corrective actions, and support troubleshooting and testing activities in both laboratory and field environments.
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Added 4 hours ago
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Added 15 hours ago
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Senior Manager, Asset Management & Engineering
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Calgary, AB
- Full-time
Partner with Field Operations to provide responsive engineering and maintenance support, while maintaining clear accountability for day-to-day operation, Break-In Work and the corrective…
Added 15 hours ago
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Senior Manager, Asset Management & Engineering
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Added 18 hours ago
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Added 18 hours ago
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Project Manager II
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- Full-time
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Added 18 hours ago
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Project & Shutdown Management Lead
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Cardinal Health Canada

Data Engineer

Concord, ON, Canada

Anticipated pay range: $89,400 - $119,300 · Full-time

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Job details

Pay: Anticipated pay range: $89,400 - $119,300
Job type: Full-time
Apply by: Nov 27, 2026
Posting language: English
Posted: Oct 28, 2026

Original job description

Cardinal Health Canada, with over 1,300 employees nationwide, is an essential link in the Canadian healthcare supply chain, providing over 70,000 products to healthcare facilities and medical professionals across the country.

The Data & Analytics Function manages the analytics lifecycle, from data platforms and access through reporting, business intelligence, and advanced quantitative modeling. The function delivers relevant insights that inform business decisions, anticipate opportunities, and strengthen competitive advantage.

Data Engineering transforms raw data into trusted, accessible data products for reporting, analytics, and business decision-making. The discipline includes data acquisition, integration, transformation, modeling, quality, and provisioning. Data Engineers combine technical expertise with an understanding of business processes to deliver timely, accurate, relevant, and actionable data solutions.

We are seeking a Data Engineer to develop and support reliable data solutions for reporting, analytics, and business decision-making. This role works within established architecture and engineering standards while taking ownership of assigned pipelines, data models, and technical deliverables. The ideal candidate has hands-on experience with SQL, data integration, data modeling, and cloud-based data platforms, and can collaborate effectively with senior engineers, analysts, and business stakeholders to deliver scalable, well-documented solutions.

This position is a hybrid model with two days reporting to our head office in Vaughan, Ontario.

For more information on what it is like to work for us, please watch our <a target=_blank"" href=""https://www.youtube.com/watch?v=zA4HVn5g5DI"">Cardinal Health - Wings

Your Contributions To The Organization Will Be

Develop, maintain, and support reliable data pipelines that extract, transform, and load data from multiple source systems into the data warehouse, including appropriate validation, error handling, and monitoring
Build and maintain scalable data models that apply established modeling standards and promote data consistency, accuracy, performance, and accessibility
Automate recurring data-processing activities and improve the efficiency of existing workflows
Partner with analysts and business stakeholders to understand data requirements and deliver fit-for-purpose solutions
Collaborate across business, analytics, source-system, and engineering teams to perform source-to-target analysis, document transformation rules and data lineage, reconcile results, and identify the root causes of data discrepancies
Write, test, and optimize SQL queries, transformations, and data-processing logic
Apply established data security, privacy, governance, and compliance standards
Monitor data pipelines, investigate failures and data-quality issues, perform root-cause analysis, and implement corrective and preventive actions with guidance on complex issues when needed
Create and maintain technical documentation for data assets, processes, dependencies, and operational procedures
Participate in code reviews, testing, deployment activities, and continuous improvement of data engineering practices
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This Job Might Be For You If

Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field, or equivalent practical experience, preferred
5+ years of experience in data engineering, data integration, SQL development, or a related technical field, preferred
Strong SQL skills and experience developing, testing, and troubleshooting data transformations
Working knowledge of data warehousing concepts, dimensional data modeling, and ETL or ELT processes
Experience developing or supporting data solutions on at least one cloud-based data platform, such as Google Cloud Platform, Amazon Web Services, or Microsoft Azure
Experience using version control and participating in structured development, testing, and deployment practices
Ability to analyze data issues, identify root causes, and implement practical solutions
Effective written and verbal communication skills, with the ability to collaborate across technical and business teams
Ability to manage assigned work independently while seeking guidance on complex or ambiguous problems
Experience with Python or another programming language used for data processing, automation, testing, or integration
Experience using AI-assisted development tools responsibly to support activities such as code generation, documentation, testing, troubleshooting, or technical research, with appropriate validation of generated outputs

Preferred Qualifications

Experience with Google Cloud Platform, BigQuery, or comparable cloud data technologies
Experience supporting business intelligence tools such as Looker, Tableau, or Power BI
Experience integrating, modeling, or preparing data for process mining platforms such as Celonis or similar solutions
Experience working with SAP data structures, master and transactional data, and enterprise business processes
Exposure to data orchestration, data quality, metadata management, or CI/CD practices
Knowledge of machine learning, generative AI, agentic AI, and the data architectures needed to support emerging analytics use cases
Experience in healthcare, pharmaceutical, distribution, supply chain, or commercial analytics environments

Anticipated pay range: $89,400 - $119,300

Bonus: Yes

This role is eligible for a performance-based annual bonus. Bonus awards are not guaranteed and are determined based on individual performance, company performance, and other business factors, in accordance with the company's bonus plan

Position currently vacant: Yes

The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, individual and company performance, experience, skills, and other business factors.

Cardinal Health is committed to employment equity and encourages applications from women, visible minorities, Indigenous peoples, and persons with disabilities.

Cardinal Health is committed to accommodating applicants with disabilities throughout the hiring process, in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). Our Human Resources team is responsible for working with applicants requesting accommodation at any stage of the hiring process.

Cardinal Health Canada is proudly recognized as a Great Place to Work® in Canada. As an essential partner in Canadian healthcare, we strive every day to build a culture of inclusion and collaboration, where team members can be their authentic selves, grow in their careers, and be proud to serve our customer partners.

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Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

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More about this job

Responsibilities

Develop, maintain, and monitor data pipelines and scalable data models that transform data from multiple sources into reliable products for reporting, analytics, and business decisions. Collaborate with technical and business teams to document data lineage and transformation rules, resolve data issues, apply security and governance standards, and support testing, deployment, and continuous improvement.

Requirements

A bachelor's degree in a related field or equivalent practical experience is preferred, along with five or more years of experience in data engineering, data integration, SQL development, or a related technical field. Candidates should have strong SQL skills, knowledge of data warehousing and ETL/ELT, experience with a cloud data platform and structured development practices, and effective analytical and communication skills; Python and AI-assisted development experience are also noted.

Skills

SQL
Data Engineering
Data Integration
Data Modeling
ETL/ELT
Cloud Data Platforms
Google Cloud Platform
BigQuery
Python
Data Warehousing
Data Quality
Data Pipeline Monitoring
Version Control
Business Intelligence
Source-to-Target Analysis
Technical Documentation

Visa sponsorship

Not detected in the job text

Keywords

SQL
Python
Google Cloud Platform
BigQuery
Amazon Web Services
Microsoft Azure
ETL
ELT
Data Warehousing
Dimensional Data Modeling
Data Pipelines
Data Integration
Data Quality
Data Governance
Data Security
Data Privacy
Version Control
CI/CD
Data Orchestration
Metadata Management
Looker
Tableau
Power BI
Celonis
SAP
Machine Learning
Generative AI
Agentic AI
Healthcare Supply Chain
Source-to-Target Analysis

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