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Added 3 days ago
C
Consultant, IT Quality Assurance
CIBC
Toronto, ON
- Full-time
…It’s an asset if you have experience writing and executing SQL queries, and have software development experience in Java, C#, Python, VBScript, etc. This role leads the development of…
Added 3 days ago
MaAnalytics, GWM -nager, CWM
Scotiabank
Toronto, ON
…and performance across Scotiabank. This role partners with senior stakeholders to solve complex business challenges, advance data-driven decision-making, and identify opportunities for…
Added 3 days ago
SC
Senior Environmental Data Engineer
SLR Consulting
Calgary, AB · Vancouver, BC · Guelph, ON
- Full-time
As our Senior Environmental Data Engineer, you’ll build and maintain custom tools, reports, and data workflows that integrate with EQuIS while working closely with clients to understand…
Added 3 days ago
Senior AI Engineer, IT Solutions 1 1
Celestica International LP
Toronto, ON
Advanced proficiency in Python and relevant libraries (NumPy, Pandas, PyTorch, or TensorFlow).
Added 3 days ago
G
Senior Vehicle Systems Engineering
Geotab
Waterloo, ON
- Full-time
Ability to learn or write SQL queries and Python scripts to analyze Google BigQuery data; willingness to travel internationally up to 25% and a valid passport and driver’s licence for…
Added 3 days ago
A
Product Manager (Bangkok-based)
Agoda
Toronto, ON
- Full-time
…Manager, you will drive product strategy and partner closely with senior leadership cross-functionally to define, build, and deliver the best travel…
Added 3 days ago
U
Scientifique des données III-Ing/Data Scientist III- Eng
UKG
Montreal, QC
- Full-time
Maîtrise approfondie de Python (pandas, scikit-learn, PySpark), de SQL/BigQuery et des outils de gestion de versions.
Added 3 days ago
IC
Actuarial Associate, Financial Planning and Analysis
ivari Canada
Toronto, ON
- Full-time
Strong knowledge of Excel. Experience with Workiva, AXIS and programming tools (e.g. R, SQL, Python) would be an asset
Added 3 days ago
GS
Ingénieur Automatisation Électronique & DevOps (Senior)
Groupe SII
Montreal, QC
- Full-time
Maîtrise de langages de script utilisés pour l’automatisation tels que Python, PowerShell, Groovy, Bash ou VBScript.
Added 3 days ago
CH
Data Engineer
Cardinal Health Canada
Concord, ON
- Full-time
…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,…
Added 3 days ago
CH
Data Engineer
Cardinal Health Canada
Concord, ON
- Full-time
…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,…
Added 3 days ago
C
Senior Agentic AI developer
CGI
Toronto, ON
- Full-time
CGI's Emerging Technologies team within Global Technology and Operations (GTO) Canada is seeking a highly skilled Senior Agentic AI Developer to design, develop, and deploy next-generation…
Added 3 days ago
SC
Ingénieur Automatisation Électronique & DevOps (Senior)
SII Canada
Montreal, QC
- Full-time
Maîtrise de langages de script utilisés pour l’automatisation tels que Python, PowerShell, Groovy, Bash ou VBScript.
Added 3 days ago
Manager, Analytics
Scotiabank
Toronto, ON
…and performance across Scotiabank. This role partners with senior stakeholders to solve complex business challenges, advance data-driven decision-making, and identify opportunities for…
Added 3 days ago
B
Senior Analyst, Data Analytics & Automation Solutions
BMO
Toronto, ON · FCP
- Full-time
Added 3 days ago
RU
Senior Data Engineer
RSM US LLP
Calgary, AB · Toronto, ON
- Full-time
Added 3 days ago
SI
Senior AI Engineer
Siri InfoSolutions, Inc.
Mississauga, ON
- $110,000 to $120,000 CAD / year
- Full-time
Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.
Added 3 days ago
T
Senior Analyst, Reporting - Model Management and Analytics (5600)
TD
Toronto, ON
- Full-time
Strong working knowledge with preferably three or more years of hands-on experience using SAS, SQL or Python.
Added 3 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Reporting to the Director, Data Science, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in…
Added 3 days ago
SL
Senior Data Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Support the initial development of analytical data models, including SQL/HQL/Python/Spark/Scala code and data processes.
Added 3 days ago
MF
Director Investment Research
Mackenzie Financial Corporation
Toronto, ON · Greater Toronto Area, ON
- Other
Technical depth across cloud architecture (AWS or similar), data engineering, APIs, Python and SQL, enough to guide design decisions and review the team's work
Added 3 days ago
Senior Fullstack Developer (Python) - AI features team
AlayaCare
Montreal, QC
We are seeking a Senior Full Stack Developer to join our AlayaLabs team within the Data & Intelligence division. Reporting to the Engineering Manager, you will contribute to both frontend…
Added 3 days ago
E
Braze Architect
EXL
Canada
- Full-time
Advanced SQL; working proficiency in Python or JavaScript / Node.js for integrations and automation.
Added 3 days ago
GM
Senior QA with English and French Language must
Galactic Minds INC
Toronto, ON
- Contract
You will use Python to build automation frameworks that simulate thousands of real-time trades, ensuring our systems can handle market volatility. You will use complex SQL to deep-dive into…
Added 3 days ago
BA
Project Manager - Higgs Audio (Toronto)
Boson AI
Toronto, ON
- Full-time
Technical fluency: comfortable with Python, REST and streaming APIs, GitHub and issue trackers, and able to reproduce a bug, read logs, and analyze evaluation results in SQL, a spreadsheet…

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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