Find work in Canada.

327,697 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 1 hour ago
Senior Backend Developer - Spectra
GHGSat
Montreal, QC
Full-time
We are looking for a senior engineer who wants their work to matter, who takes pride in building software that is reliable and genuinely useful, and who makes the team around them better.
Added 2 hours ago
SQL Developer / Data Engineer
TD
Toronto, ON
Full-time
Position Title: Senior SQL Developer / Data Engineer
Added 2 hours ago
Senior Data Engineer
AGLC
AB · Edmonton, AB
Full-time
…innovative digital services. We are looking for a Senior Data Engineer to help shape the next evolution of our data ecosystem and lead the design of modern, scalable analytics platforms…
Added 2 hours ago
AI Engineer
UniSysTech Consulting
Toronto, ON · Greater Toronto Area, Canada
$70 to $85 CAD / hour
Contract
We are looking for AI Engineer to to design and scale intelligent backend systems, machine learning pipelines, and data architectures. In this role, you will build production-grade AI…
Added 2 hours ago
Senior GoLang Engineer
Aarista Technologies
Vancouver, BC
Full-time
We're looking for a Full Stack Software Engineer who is equally comfortable architecting robust backend services in GoLang and building rich, data-heavy interfaces in React. This is a…
Added 2 hours ago
Senior Data Engineer
Confluence Technologies
Canada
Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 3 hours ago
AWS Data Engineer
Apptoza Inc.
Toronto, ON
Contract
AWS Data Engineer – Banking / Financial Services
Added 4 hours ago
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
Full-time
…digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem. In this…
Added 4 hours ago
Senior Bigdata Developer
Global ERP Solutions
Mississauga, ON
Full-time
We are looking for an experienced Senior Big Data Engineer with strong expertise in Scala, Apache Spark, and Apache Kafka to design and build large-scale, high-performance data processing…
Added 5 hours ago
Senior Data Engineer
RBC
Vancouver, BC
Full-time
…digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem. In this…
Added 5 hours ago
Data Engineer
BMO
Toronto, ON · SCC
Full-time
Hands on experience with ETL/ELT development/testing and data warehousing concepts
Added 5 hours ago
Senior Developer Engineer/Leader
Xcelerated Consulting Group, LLC.
Montreal, QC
Contract
Messaging / Integration (Preferred): Familiarity with JMS, Kafka, Informatica ETL, or simi
Added 6 hours ago
Senior Full Stack Software Developer
Mecka
Remote, Canada
$165,000 to $200,000 CAD / year
Full-time · Remote
We're hiring a Senior Full Stack Software Engineer based in Toronto to build and ship production web applications that power Mecka’s global operations.
Added 7 hours ago
Software Engineer (Neo4j/Graph Database)
Iris Software Inc.
Toronto, ON
Contract
Position: Software Engineer (Neo4j/Graph Database)
Added 8 hours ago
Data Platform Engineer
AgileGrid Solutions
Canada
Full-time
…responsible for designing scalable data pipelines, developing ETL processes, and ensuring the integrity and security of data within a regulated environment. Your expertise will enable…
Added 9 hours ago
Business Intelligence Engineer
OpenTable
Toronto, ON
…scalable solutions - ranging from analytics dashboards and ETL pipelines to production-ready AI tools, RAG pipelines, and automated action…
Added 10 hours ago
Senior Data Engineer
Style Analytics
Montreal, QC
Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 12 hours ago
Senior Data Quality Engineer - Zonda - Toronto, Ontario
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
We are looking for a Senior Data Quality Engineer to build and operate the testing and validation capabilities that ensure data delivered through our enterprise data platform is accurate,…
Added 19 hours ago
Director - Enterprise Data Warehouse and Data Platforms
CGI
Ottawa, ON
Full-time
Provide technical leadership across enterprise data warehousing, data modelling, ETL/ELT, batch and streaming pipelines, data quality, metadata, governance, security, and analytics.
Added 22 hours ago
Senior Engineer
Aptino, Inc.
Canada
Contract
We are looking for a Senior Software Engineer / Big Data Engineer with strong hands-on experience in Apache Spark, Spark SQL, Python, and Scala.
Added 22 hours ago
Software Tester
VySystems
Canada
Full-time
We are seeking a Senior Data Engineer with strong Quality Engineering (SDET) experience. The role is primarily focused on building and validating data solutions using Databricks, Python,…
Added 23 hours ago
Azure Data Engineer
Spait Infotech
Canada
Full-time
Build and maintain ETL/ELT workflows for structured and unstructured data.
Added 1 day ago
Business Systems Engineer Intern, Finance Technology (Summer 2027)
Lyft
Toronto, ON
$40 to $43 CAD / hour
We are seeking a motivated, technical student to join our Corporate FinTech team as a Business Systems Engineer Intern. This internship offers hands-on experience supporting the full suite…
Added 1 day ago
Sr. Integration Architect - Automation
Infotree Global Solutions
Toronto, ON
Contract
Job Title: Sr Integration Engineer (Intelligent Automation)
Added 1 day ago
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
Full-time
…the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality and collaborating with analytics and product…

AgileGrid Solutions

Data Platform Engineer

Canada

Job type: Full-time
Posting language: English
Posted: Sep 29, 2026

Apply About employer

Applications open in a new tab.

Original job description

About The Company

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

About The Role

The Data Engineering - Level 4 role at McKesson offers a unique opportunity to lead the development and optimization of our enterprise data infrastructure. As a senior member of the data engineering team, you will be responsible for designing scalable data pipelines, developing ETL processes, and ensuring the integrity and security of data within a regulated environment. Your expertise will enable advanced analytics, support strategic decision-making, and contribute to innovative data solutions across the organization.

This position involves creating custom software components, maintaining comprehensive metadata repositories, and implementing data standardization and quality assurance processes. Collaborating closely with architects, data analysts, and data scientists, you will drive best practices in data engineering and contribute to building robust, production-ready systems that align with McKesson’s strategic objectives.

Qualifications

To succeed in this role, candidates should possess extensive experience in designing and maintaining complex data pipelines and ETL processes. Advanced proficiency in SQL and Python is essential for query optimization and data processing tasks. A strong understanding of data modeling, entity relationships, and metadata management is required. Familiarity with big data technologies such as Hadoop, Apache Kafka, and distributed file systems like HDFS is highly preferred.

Applicants should have demonstrated ability to troubleshoot complex data issues, implement data standardization processes, and develop custom software components. Effective communication and leadership skills are necessary for guiding technical teams and mentoring junior engineers. A solid understanding of data governance, security protocols, and regulatory compliance is also critical.

Responsibilities

Design and implement scalable data pipelines and ETL programs to integrate complex data sources from internal and external systems.
Write and optimize advanced SQL and Python queries to enhance data processing efficiency and performance.
Develop and maintain metadata repositories, ensuring data accuracy, integrity, and usability across enterprise systems.
Create and enforce processes for data standardization, reliability, and quality improvements across multiple platforms.
Troubleshoot and resolve complex data analytic issues, including production and development database management problems.
Develop and maintain query libraries and custom software components to support analytics and reporting functions.
Recommend and implement new tools, technologies, and best practices to improve data engineering capabilities and system performance.
Ensure compliance with governance, security, and regulatory standards through rigorous data quality checks and documentation.
Collaborate with cross-functional teams to align data solutions with enterprise architecture and business priorities.
Provide technical leadership and mentorship to junior engineering teams, promoting best practices and continuous improvement.

Benefits

McKesson offers a competitive total rewards package designed to support your professional growth and personal well-being. Our benefits include comprehensive healthcare plans, retirement savings options, paid time off, and wellness programs. We also provide opportunities for continuous learning and development, including training, certifications, and career advancement initiatives. As part of our commitment to work-life balance, flexible work arrangements and employee assistance programs are available to support your needs.

Additionally, McKesson fosters an inclusive and collaborative work environment where diversity is valued. We believe in recognizing and rewarding your contributions, ensuring you have the resources to succeed and thrive within our organization.

Equal Opportunity

McKesson is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. We value diversity and inclusion and strive to create a workplace where everyone feels respected and empowered.

If you require a reasonable accommodation during the application process, please contact us by email at the designated contact addresses provided on our careers page. We encourage all qualified individuals to apply and look forward to welcoming talented professionals to our team.

Apply About employer

More about this job

Responsibilities

Design, build, and optimize scalable data pipelines and ETL processes, while maintaining metadata repositories and improving data quality, reliability, and security. Resolve complex data issues, develop query libraries and custom components, recommend engineering improvements, and collaborate with teams while mentoring junior engineers.

Requirements

Candidates should have extensive experience designing and maintaining complex data pipelines and ETL processes, with advanced SQL and Python skills and a strong understanding of data modeling and metadata management. Familiarity with Hadoop, Apache Kafka, and HDFS is preferred, alongside expertise in troubleshooting, governance, security, regulatory compliance, communication, and technical leadership.

Skills

Data Pipeline Design
ETL Development
SQL
Python
Data Modeling
Metadata Management
Hadoop
Apache Kafka
HDFS
Data Standardization
Data Quality Assurance
Data Governance
Data Security
Regulatory Compliance
Troubleshooting
Technical Leadership

Benefits

Healthcare Plans
Retirement Savings Options
Paid Time Off
Wellness Programs
Training And Development
Certifications
Career Advancement Opportunities
Flexible Work Arrangements
Employee Assistance Programs

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Pipelines
ETL
SQL
Python
Data Modeling
Entity Relationships
Metadata Repositories
Hadoop
Apache Kafka
HDFS
Distributed File Systems
Data Standardization
Data Quality Assurance
Data Governance
Data Security
Regulatory Compliance
Query Optimization
Custom Software Components
Query Libraries
Enterprise Architecture
Advanced Analytics
Data Integration
Technical Mentorship

Report this job