Platform Engineer at Starbucks
Join our team as a Platform Engineer position at Starbucks, based in Toronto. Learn more and apply today.

Starbucks is expanding and seeking a Data Engineer to contribute to key projects. This is a fully remote-friendly position, giving you flexibility to work from anywhere.
Starbucks operates the largest chain of coffeehouses globally, offering coffee, tea, and food items through company-operated and licensed stores.
As a Data Engineer at Starbucks - ML at Starbucks, you will collect, clean, and analyse large datasets to support business decision-making while contributing to the team's objectives and broader company goals.
Starbucks is based in Denver, and this role offers remote flexibility. You will have the opportunity to work from home or any location with a reliable internet connection, while staying connected with your team through regular video calls and collaboration tools.
You will join a team of 7 professionals working on data analyst projects. The team collaborates with cross-functional partners to deliver projects on time and maintain high standards of work.
Benefits vary by location, employment type, and individual circumstances. Review the full job posting for complete details.
Starbucks supports professional growth through mentorship, learning budgets, and defined career paths. Team members are encouraged to develop new skills and take on increasing responsibility over time.
This position is based in Denver. Remote work is available for this role, with flexibility to work from home or any location with a reliable internet connection.
If you are ready to make an impact at Starbucks, we encourage you to apply. Submit your application through the link below and a member of the recruitment team will be in touch. We review applications on a rolling basis and aim to respond within 5 business days.
Yes, this Data Engineer role at Starbucks offers remote work flexibility.
The salary range for this position is USD 99,562 - 99,562 per year, depending on experience.
Starbucks is looking for candidates with relevant experience and skills matching the requirements listed above. Entry-level and experienced candidates are both encouraged to apply where indicated.
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