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Data Engineers

• Remote - Americas
• Engineering & Data

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If you've contributed to the largest open-source projects, optimized systems to handle unprecedented traffic, or developed game-changing algorithms, we want to know about it. Link your highlights and skip the resume.

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Which track are you interested in pursuing with Shopify?*

Individual ContributorPeople Manager

How many years of professional experience do you have in data engineering, not including academic experience and internships?*

0-3 years3-5 years5-7 years7-10 years10+ years

As a Data Engineer, how would you describe your approach to mentorship?*

I'm still learning the ropes, so I tend to focus more on absorbing knowledge myself.I'm comfortable with my skills, but I still rely on more experienced engineers for complex problems.I mentor others and promote a culture of learning and growth within the organization.I mentor others, and play a role in increasing the technical competencies of my craft at the org level.

As a Data Engineer, how would you describe your experience on projects?*

I haven't led a project yet, but I've contributed to the tasks assigned to me and learned from the process.I've led a small project or a part of a larger project from start to finish.I've led multiple projects across teams and stakeholders, and was accountable for the project's success.I've led high-stakes projects spanning multiple stakeholders, disciplines, and technical complexities.

Describe your experience with data architecture and modeling concepts in your current or previous roles.*

I have contributed to building data models within a data warehouse, with a clear and defined scope.I've contributed to and led data modeling and design within a data warehouse, with an ambiguous scope.I've led data modeling and design for complex concepts within a data warehouse frameworkI regularly lead the design and modeling of complex, large-scale data warehouse systems.

As a Data Engineer, what area would you prioritize for your main focus, aligning with your expertise and interest?*

Bringing data onto or from a data platform (ETL/ELT), managing API interactions, and monitoring pipelines.Building tooling and frameworks crucial for data processing and exposure, and creating custom software.Data modeling, incorporating intricate business logic, and constructing a robust data warehouse.Streaming data pipelines, delivering real-time data transport solutionsData science and analytics, constructing data marts for in-depth data analysis, and serving the business.

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Want to stand out? Optionally share something you’ve made with an AI tool — e.g. a “sell yourself” build, a short project, or a creative take on your background — that shows why we should consider you and how you work with AI. We’re interested in your taste, effort, and the quality of what you produce. Submit a link, paste your code or output, or attach a file. Not required to apply.

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