Jobs in Canada

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Added 1 month ago
M(
Senior Applied Scientist, ML Predictive Maintenance (Asset Intelligence)
MaintainX (An Autodesk Company)
Remote, Canada
- $123,000 to $180,000 CAD / year
- Full-time
- Remote
Added 1 month ago
A
Machine Learning Engineer
ALS
Montreal, QC
- Full-time
Added 1 month ago
TC
Lead Developer, Research & Development
The Citco Group Limited
Toronto, ON
- Full-time
5+ years of professional software-development experience, including substantial AI/ML delivery experience
Added 1 month ago
C
AI Engineer
Cognizant
Toronto, ON
- Full-time
Advanced Python proficiency with strong software engineering fundamentals (version control, testing, code reviews)
Added 1 month ago
Data Engineer, Amazon Traffic Engineering
Amazon
Vancouver, BC
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control…
Added 1 month ago
Security Engineer , AI Security
Amazon
Vancouver, BC
…experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security…
Added 1 month ago
S
Computer Vision Engineer
SearchLabs
Mississauga, ON
- $200,000 to $250,000 CAD / year
- Full-time
LOCATION: Mississauga, ON - Hybrid (1 day per week in office) · Hybrid environment with only 1 day per week required in the Mississauga office
Added 1 month ago
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Sr Analyst, DevOps
Brookfield
Toronto, ON
- Full-time
…Collaborative and Disciplined. Brookfield is committed to the development of our people through challenging work assignments and exposure to diverse…
Added 1 month ago
AI & ML Intern - Electrical Engineer (Witner 2027)
Trench Group GmbH
Toronto, ON
Assist in the design, development, and testing of internal web applications to support the design and production of air core reactors.
Added 1 month ago
A
Manager, Software Engineering
AltaML
Calgary, AB · Edmonton, AB · Toronto, ON
- Full-time
…are the default way engineers design, build, test, and review software, not an optional accelerant a few people…
Added 1 month ago
A
Manager, Software Engineering
AltaML
Calgary, AB
- Full-time
…are the default way engineers design, build, test, and review software, not an optional accelerant a few people…
Added 1 month ago
TC
Senior Automation Developer with Blue Prism
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
We are seeking a highly skilled Senior Automation Developer to design, develop, and optimize automation solutions using Blue Prism, with complementary expertise in Python, SQL, and API…
Added 1 month ago
A
Manager, Software Engineering
AltaML
Edmonton, AB
- Full-time
…are the default way engineers design, build, test, and review software, not an optional accelerant a few people…
Added 1 month ago
C
Senior Full-Stack Engineer, Internal Applications
Cohere
Remote, Canada
- $215,000 to $310,000 CAD / year
- Full-time
- Remote
As a Full-Stack Software Engineer on the Internal Applications team, you will:
Added 1 month ago
Senior Software Engineer
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office
Added 1 month ago
BA
Sr Analyst, DevOps
Brookfield Asset Management
Toronto, ON · Brookfield Place
- Full-time
…Collaborative and Disciplined. Brookfield is committed to the development of our people through challenging work assignments and exposure to diverse…
Added 1 month ago
GD
Software Engineering Developer, Air & Naval Sonar
General Dynamics Missions System International
Dartmouth, NS
- Full-time
Performing software requirements analysis, design, development, testing, and integration
Added 1 month ago
Staff Backend Engineer, Customer Value Optimization
HelloFresh
Toronto, ON
This means a minimum of 3 days in office per week
Added 1 month ago
Senior Engineer (Platform)
Later
Vancouver, BC
…culture of technical excellence. With deep expertise in modern software development and Agile practices, you’ll shape how we build, scale, and innovate - directly influencing product…
Added 1 month ago
P
Senior Software Quality Engineer – AI
PeoplePilot
Toronto, ON
- Full-time
We are seeking a Senior Software Quality Engineer – AI Focused to drive quality, reliability, and automation for AI-enabled software products. The role will collaborate with Development,…
Added 1 month ago
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Information Technology Lead
BMAD
Montreal, QC
- Full-time
In close collaboration with the production and development teams, the IT Lead at BMAD Inc. is responsible for overseeing the technical evaluation, implementation, and continuous…
Added 1 month ago
W
Software Engineer, Commercial Software
Waabi
Toronto, ON
- $149,000 to $220,000 CAD / year
- Full-time
On the Commercial Software team, we are building the platform that interfaces with the autonomous vehicle while enables customers and internal operations to manage fleet of trucks. We're a…
Added 1 month ago
Sr. Product Manager- StorageGrid
NetApp, Inc.
Vancouver, BC
Familiarity with Object Storage, Data Lakes, AI/ML, software development life cycle, security practices and other technologies pertinent to enterprise workloads.
Added 1 month ago
AS
Data Speaclist
AgileGrid Solutions
Canada
- Full-time
…experience in data engineering and enterprise data platform development, with a minimum of 3+ years of deep hands-on experience with Azure Databricks in production…
Added 1 month ago
U
Senior Forward Deployed Engineer (Hybrid, Canada)
Unit8
Montreal, QC
- Full-time
Collaborating with other software engineers, ML experts, and stakeholders in a cross-functional agile environment

AgileGrid Solutions

Data Speaclist

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Sep 15, 2026

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

We are seeking a highly skilled Senior Data Specialist to join our dynamic team. In this role, you will provide technical leadership in designing, developing, and optimizing cloud-native data solutions on the Azure Data platform, with a primary focus on Azure Databricks. Your expertise will be instrumental in building enterprise-scale data pipelines, implementing modern lakehouse architectures, and enabling the creation of trusted, high-quality data products that support analytics, artificial intelligence, machine learning, and strategic business decision-making.

The ideal candidate will possess deep hands-on experience with Databricks, PySpark, advanced SQL, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Delta Lake, Delta Live Tables (DLT), and Change Data Capture (CDC) frameworks. You will play a pivotal role in designing and supporting robust Medallion Architecture patterns, while ensuring data quality, performance, security, and governance across the enterprise. Collaborating closely with architects, product teams, analytics stakeholders, and governance teams, you will deliver scalable, reusable, and production-ready data engineering solutions within a highly regulated environment.

Qualifications

To succeed in this role, candidates should possess a strong technical background combined with relevant industry experience. A bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field is required; a master's degree is preferred. Candidates should have at least 7+ years of experience in data engineering and enterprise data platform development, with a minimum of 3+ years of deep hands-on experience with Azure Databricks in production environments.

Proficiency in designing, building, and supporting enterprise-grade data solutions using Azure Databricks, PySpark, and advanced SQL is essential. Extensive experience with Azure Data Factory, Azure Data Lake Storage, Delta Lake, Delta Live Tables, CDC, and Medallion Architecture is required. Knowledge of data modeling, data warehousing, metadata management, and governance best practices is crucial. Additionally, familiarity with CI/CD processes, automated testing, and troubleshooting complex data pipelines is necessary.

Preferred qualifications include experience with Snowflake, Kafka, streaming architectures, AI/ML workloads, and certifications in Azure and Databricks, which are highly desirable.

Responsibilities

Design, build, and optimize large-scale data pipelines utilizing Azure Databricks, PySpark, and advanced SQL techniques.
Develop and maintain batch and near real-time data ingestion frameworks using Azure Data Factory, Delta Lake, and CDC methodologies.
Create and support modern Lakehouse solutions leveraging Medallion Architecture, including Bronze, Silver, and Gold layers.
Implement Delta Live Tables pipelines to enhance data reliability, maintainability, and quality.
Develop scalable and resilient ETL/ELT frameworks capable of processing high-volume enterprise datasets efficiently.
Optimize Spark workloads, including job orchestration, partitioning strategies, and SQL performance tuning for large-scale environments.
Establish and maintain data quality validation frameworks, lineage tracking, metadata management, and governance controls.
Implement automated testing and reconciliation processes to ensure data accuracy, completeness, and consistency.
Collaborate with cross-functional teams to translate business requirements into technical solutions, ensuring alignment with enterprise standards.
Drive engineering best practices, conduct code reviews, promote CI/CD adoption, and develop reusable frameworks.
Mentor junior engineers, providing technical guidance and support on Databricks and Azure-based implementations.
Evaluate emerging Azure and Databricks capabilities, recommending enhancements to improve platform performance and operational efficiency.

Benefits

McKesson offers a comprehensive and competitive benefits package as part of our Total Rewards program. Our offerings include health insurance, retirement plans, paid time off, professional development opportunities, and wellness programs. The company values work-life balance and provides flexible working arrangements to accommodate personal needs. We also support continuous learning through training and certification programs, fostering growth and career advancement within the organization. Compensation is aligned with industry standards and reflects experience, skills, and performance, with additional incentives such as annual bonuses or long-term incentives available based on individual and company performance.

Equal Opportunity

McKesson is an Equal Opportunity Employer that provides equal employment opportunities to all applicants and employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. We are committed to fostering an inclusive environment where everyone can thrive. For additional information on our Equal Employment Opportunity policies, please visit our website. We also offer reasonable accommodations to applicants with disabilities during the hiring process. If you require assistance,

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More about this job

Responsibilities

Design, build, and optimize large-scale cloud-native data pipelines and Lakehouse solutions using Azure Databricks and PySpark. Establish data quality frameworks and mentor junior engineers while ensuring alignment with enterprise governance standards.

Requirements

Requires a bachelor's degree and at least 7 years of data engineering experience, with 3+ years specifically in Azure Databricks production environments. Proficiency in PySpark, advanced SQL, and Medallion Architecture is essential.

Skills

Azure Databricks
PySpark
SQL
Azure Data Factory
Azure Data Lake Storage
Delta Lake
Delta Live Tables
Change Data Capture
Medallion Architecture
Data Engineering
ETL/ELT
Data Modeling
CI/CD
Data Governance
Spark Optimization
Lakehouse Architecture

Benefits

Health Insurance
Retirement Plans
Paid Time Off
Professional Development Opportunities
Wellness Programs
Flexible Working Arrangements
Training And Certification Programs
Annual Bonuses
Long-term Incentives

Visa sponsorship

Not detected in the job text

Keywords

Azure Databricks
PySpark
SQL
Azure Data Factory
ADLS
Delta Lake
Delta Live Tables
CDC
Medallion Architecture
Lakehouse
ETL
ELT
Data Engineering
Data Modeling
Data Warehousing
Metadata Management
CI/CD
Automated Testing
Snowflake
Kafka
Streaming Architectures
AI/ML
Azure Certification
Databricks Certification
Healthcare
Data Governance
Spark Tuning
Data Pipelines
Enterprise Data Platform
Cloud-native

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Jobs in Canada