Remote Databricks Data Engineer Jobs in Toronto, ON

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.

We are seeking an experiencedSrData Engineerto join McKesson Technology Pharmaceutical Solutions and Services (PSaS) DI Data Architecture and Engineering organization. This individual will provide in-depth advanced data product architecture and engineering and analytical insight, while working in a collaborative environment to solve business problems.This person will work cross-functionally with other technology teams, data scientists/analysts, BI Developers, data architects, dataengineers,and delivery leaders to design and develop data solutions, data products,insights,and analytic models to help key stakeholders make better informed decisions.This role bolsters our supply chainorganizationmodernizationstrategic efforts by enablingrapidAI/MLexperimentationand operationalization of proven use cases and monetization of insights.

Key Responsibilities

• Design and deploy cloud-native data applications and pipelines using Azure and Databricks to enable advanced analytics and digital capabilities across pharmaceutical business domains.
• Manage offshore and nearshore teams to deliver validated, governed, and scalable data products. Promote robust metadata management, data lineage, and domain-driven design.
• Collaborate with data and platform architecture teams to align data product designs with enterprise architecture standards and governance frameworks.
• Define and enforce best practices for data quality, scalability, and performance. Provide technical leadership and mentorship to global engineering teams.
• Establish standardized dimensional models (Facts, Dims), ontologies, and semantic structures to ensure interoperability and consistency across data domains.
• Apply AI-enabled SDLC practices and automation to enhance performance, reduce technical debt, and accelerate time-to-market for data products.
• Drive seamless data integration across platforms, champion modernization through Azure-native technologies, and optimize workflows for performance, reliability, and cost-efficiency.

Required Qualifications

• Bachelor's degree in computer science, Engineering, or a related field.
• 7+ years of strong data engineering experience in building data solutions and data products.
• 3+ years of proven Data architecture background in enabling the creation of enterprise data solutions.
• Expert hands-on experience with Azure, Databricks, and Snowflake data warehousing.

Preferred Qualifications

• Preferably 2+ years of experience in supply chain analytics - specifically Transportation, Inventory management and CRM analytics.
• Relevant certifications in Azure, Databricks, Snowflake, data modeling and other cloud native data management tools/platforms add significantly to your case.

Working Conditions

• In office requirements, we are Flex and Connect with 2 days a week in office

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

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McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

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McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to 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. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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