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Added 2 mins ago
GV
Ingénieur Électrique - Sous-Station / Electrical Substation Engineer
GE Vernova
Montreal, QC
- Full-time
The Electrical Substation Engineer is responsible for detailed technical execution of high-voltage substation design projects and delivering quality engineering solutions to customers. This…
Added 2 mins ago
W
Systems Safety & Environmental (SS&E) Engineer - NETE
Weir
Dartmouth, NS
- Full-time
Purpose of Role: Weir Marine Engineering is currently looking for a Systems Safety & Environmental (SS&E) Engineer to join our Combat and Control Systems (CCS) team supporting the River…
Added 2 mins ago
VS
Staff SW Engineer (Sys)
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Ottawa, ON
- Full-time
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Added 18 mins ago
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Software Engineer II (SDET)
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Toronto, ON
- Full-time
…and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary…
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Data Engineer
eBay
Toronto, ON
- Full-time
We are looking for a talented and passionate Data Engineer to join our team and help build scalable, reliable data solutions that power critical experiences across eBay.
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Une expérience de travail dans l’industrie du béton préfabriqué constitue un atout.
Added 18 mins ago
W
Software Engineer I
Wayfair
Toronto, ON
- $120,000 to $130,000 CAD / year
- Full-time
Customer Tech: Customer Tech owns the end-to-end shopping journey for our customers across web and native apps, from search and browse through add-to-cart. As an engineer here, you might…
Added 33 mins ago
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ON · Waterdown, ON
This is a 16 month co-op term with a role as an Operations Project Engineer focused on supporting New Product Introductions (NPI). Working under general direction and guidance and…
Added 33 mins ago
AC
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Added 47 mins ago
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Senior Controls Engineer
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Toronto, ON
- Full-time
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Toronto, ON
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Added 1 hour ago
L
Product Manager
LBMX
London, ON
- Full-time
Hands-on experience running customer conversations: discovery calls, usability tests, betas, or UAT, and enjoying it.
Added 1 hour ago
M
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- Full-time
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Added 1 hour ago
Project Engineer
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Edmonton, AB · Hardisty, AB · AB · Calgary, AB
As the Project Engineer, you’ll support and execute a portfolio of growth and maintenance capital projects across Gibson Energy’s facilities. You’ll provide technical leadership throughout…
Added 1 hour ago
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Manufacturing Engineer
Hydraulic Technologies
Saint-Hyacinthe, QC · St-Hyacinthe, QC
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Une combinaison équivalente de formation technique et d'expérience pertinente sera considérée.
Added 1 hour ago
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Mechanical Engineer
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Mississauga, ON
- Full-time
Dematic Canada is seeking a talented Senior Mechanical Engineer to join our Canadian Mechanical Engineering team. The Mechanical Engineering team performs engineering assignments with clear…
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Mechanical Engineer
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Dematic Canada is seeking a talented Junior Mechanical Engineer to join our Canadian Mechanical Engineering team. The Mechanical Engineering team performs engineering assignments with clear…
Added 1 hour ago
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Toronto, ON
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…operationalization.• Manage project governance, timelines, risks, issues, and customer communications.Technical Skills• AI Security and Generative AI Security• Large Language Models (LLMs)…
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Mechanical Engineer
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Compensation: Salary starting at $110,000 Annual, plus eligible benefits, in accordance with experience and internal equity
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Added 1 hour ago
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Manager, Business Development
Docebo
Remote, Canada
- $137,800 to $183,700 CAD / year
- Full-time
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Forge Cross-Functional Alliances: Collaborate in lockstep with Sales, Marketing, and Product teams to align go-to-market initiatives and engineer seamless, high-converting lead handoffs.
Added 1 hour ago
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Reliability Engineer
Imperial Oil
Bonnyville, AB
- Full-time
As a Reliability Engineer, you'll play a key role in helping equipment and systems operate safely, efficiently, and dependably. You'll work alongside operations, maintenance, and…
Added 1 hour ago
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Intermediate/Senior Electrical Engineer
Worley
Vancouver, BC
- Full-time
…through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition…
Added 1 hour ago
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Senior Marine Project Manager
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Cardinal Health

Data Engineer

Vaughan, ON, Canada
Canada-Vaughan, 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
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 an 8-month contract role and 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 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: No

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.

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 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.

To read and review this privacy notice click here

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More about this job

Responsibilities

The Data Engineer will develop and maintain reliable data pipelines to extract, transform, and load data while building scalable data models. They will also collaborate with stakeholders to deliver actionable data solutions and ensure data quality through monitoring and root-cause analysis.

Requirements

Candidates should have 5+ years of experience in data engineering, strong SQL skills, and proficiency in cloud-based data platforms. A bachelor's degree in a technical field is preferred, along with experience in data integration and dimensional modeling.

Skills

SQL
Data Engineering
Data Integration
Data Modeling
Cloud Platforms
ETL
ELT
Data Warehousing
Python
Data Pipelines
Data Quality
Version Control
Business Intelligence
BigQuery
Google Cloud Platform
Azure

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
SQL
Data Pipelines
Data Modeling
Cloud-based Data Platforms
Google Cloud Platform
Amazon Web Services
Microsoft Azure
ETL
ELT
BigQuery
Python
Data Warehousing
Business Intelligence
Looker
Tableau
Power BI
Data Quality
Version Control
CI/CD
Data Governance
Healthcare
Supply Chain
Analytical Modeling
Automation
Generative AI
Machine Learning
SAP
Data Lineage
Root-cause Analysis

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