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Added 1 min ago
AS
Databricks Data Engineer
Apex Systems
Toronto, ON
- $50 to $55 USD / hour
- Full-time
Apex Systems is seeking a Databricks Data Engineer in Toronto, ON to support a large-scale data migration and centralization initiative into an enterprise Databricks data hub. This Engineer…
Added 30 mins ago
C
Agentic AI Architect
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Toronto, ON
- Full-time
…implementation partner for our global clients' Data and Advanced Analytics needs. We're an entrepreneurial team that is on a continuous mission to position CGI as the best-in-class AI…
Added 30 mins ago
T
Data Engineer Intern/Co-op (Winter 2027)
TD
Toronto, ON
- Full-time
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Added 45 mins ago
HR
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- Full-time
Microsoft certifications such as PL-300 (Power BI Data Analyst) or DP-600 (Fabric Analytics Engineer).
Added 45 mins ago
TR
Forward Deployed Engineer
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Remote, Canada
- $100,000 to $125,000 CAD / year
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Added 1 hour ago
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Lead Software Engineer
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Toronto, ON
- Full-time
Job Summary: The IMS Production Support L3 Engineer is responsible for ensuring the stability, availability, and performance of applications across AMS, Cloudera, and on-premises…
Added 1 hour ago
CH
Data Engineer
Cardinal Health Canada
Concord, ON
- Full-time
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…
Added 1 hour ago
CH
Data Engineer
Cardinal Health Canada
Concord, ON
- Full-time
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…
Added 1 hour ago
LC
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- Full-time
…leveraging process modeling, dynamic simulation, plant data analytics, and digital tools to improve operational performance, energy efficiency, production, and emissions performance.…
Added 1 hour ago
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IT - Specialty Developer - Senior
Raise
Toronto, ON
- Full-time
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Added 1 hour ago
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Senior Power Platform Engineer
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- Contract
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IP
Operational Excellence Analyst
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- Full-time
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Added 1 hour ago
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Director, Sales
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Remote, Canada
- $200,000 to $300,000 CAD / year
- Full-time
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You will also lead our GTM Engineer, while overseeing sales strategy, forecasting, pricing, compensation, activity goals, and the systems and enablement needed to support both teams.
Added 1 hour ago
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Operational Excellence Analyst
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AB · Edmonton, AB
- Full-time
Industrial or Manufacturing Engineer, Engineering Technologist, other engineering disciplines will be considered, bachelor’s degree in engineering, preferred
Added 1 hour ago
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Workforce Authentication Engineer
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Added 1 hour ago
L
Full Stack Engineer, Agentic AI
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- Contract
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Added 2 hours ago
Data Engineer
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…in an enterprise-grade data warehousing platform. The Data Engineer is responsible for operating the platform day to day: keeping data flowing, connecting new sources, and building data…
Added 2 hours ago
A
Entry Level Technology Development Program - Summer Analyst - Canada - NAELFY27
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Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC · Regina, SK
- Full-time
…model and developed into a client-facing, full-stack, AI-native engineer embedded directly in delivery…
Added 2 hours ago
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- Full-time
…Solving, IT Quality Assurance, Long Term Planning, Predictive Analytics, Programming Languages, Software Product Testing, Test…
Added 2 hours ago
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Lead Full Stack Engineer
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- Full-time
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Added 2 hours ago
T
Data Engineer Intern/Co-op (Winter 2027)
TD
Toronto, ON
- Full-time
…(Data-as-a-service or DaaS). Job responsibilities for a Data Engineer Intern/Co-op may vary by area. They may include, but are not limited to the…
Added 2 hours ago
FM
Sustaining Engineer – R&D
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Kitchener, ON
- $65,000 to $80,000 CAD / year
Added 2 hours ago
H
GNSS Software Engineer
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Calgary, AB
- Full-time
GNSS Software Engineer to join our team in Calgary, AB, Canada. Reporting to the
Added 2 hours ago
TI
Performance Engineer
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Toronto, ON
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Added 2 hours ago
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Oversee reporting and analytics activities supporting pipeline management, forecasting, operational performance, and business planning.

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 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 <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: 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.

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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, ensuring data quality, security, performance, and accessibility. Collaborate with analysts, business stakeholders, and engineering teams to document data lineage, resolve discrepancies, optimize SQL transformations, and support testing, deployment, and continuous improvement.

Requirements

A bachelor's degree in a related field or equivalent practical experience is preferred, along with 5+ 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.

Skills

SQL
Data Engineering
Data Integration
Data Modeling
ETL/ELT
Cloud Data Platforms
Google Cloud Platform
BigQuery
Python
Data Warehousing
Data Quality
Data Governance
Version Control
Data Orchestration
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
Looker
Tableau
Power BI
Celonis
SAP
Data Engineering
Data Pipelines
Data Integration
Data Warehousing
Dimensional Data Modeling
ETL
ELT
Data Transformation
Data Quality
Data Lineage
Data Governance
Data Security
Data Privacy
Version Control
CI/CD
Data Orchestration
Machine Learning
Generative AI
Agentic AI

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