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United States of America Remote

Staff Data Engineer at Shopify | United States (Remote)

Company/Recruiter: Shopify

Published on: Nov 1, 2026 · Closes Mar 1, 2027
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Opportunity snapshot

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Opportunity type

Job

Location

United States of America

Work arrangement

Remote

Compensation

Not disclosed

Closing date

Mar 1, 2027

Employer

Shopify

Prepare your application

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MorrJobs preparation notes

Role shape: Responsibility-led role with a detailed skills profile.

Evidence to prepare: Connect your CV or portfolio to Proven experience as a Data Engineer or in a similar role.; Strong proficiency in data warehousing, ETL/ELT processes, and data modeling.. Use one concrete example that shows you can Architect and implement robust data pipelines for ingestion, transformation, and storage..

Check before applying: Confirm that United States of America and the stated work arrangement suit you, check the closing date of Mar 1, 2027.

  • Apply before Mar 1, 2027.
  • The application route is available to verified Talent accounts.
  • Compensation is not disclosed in the listing; confirm it during the employer's process.
Shopify is seeking a highly skilled and experienced Staff Data Engineer to join our dynamic team. In this crucial role, you will be instrumental in developing and enhancing the sophisticated data systems that underpin global commerce. You will have the opportunity to architect robust data pipelines, transforming intricate information into actionable insights that empower millions of merchants worldwide. Your contributions will directly influence our technical trajectory and enable smarter decision-making across our platform. If you are passionate about data and eager to make a significant impact, we encourage you to apply.

Job Overview

This position focuses on designing, building, and maintaining scalable data infrastructure and pipelines. You will play a key role in shaping our data strategy and contributing to the technical direction of Shopify's data capabilities.

Key Responsibilities

  • Architect and implement robust data pipelines for ingestion, transformation, and storage.
  • Design and optimize data models to support analytics and business intelligence.
  • Collaborate with cross-functional teams to understand data needs and deliver solutions.
  • Develop and maintain data quality frameworks and monitoring systems.
  • Contribute to the continuous improvement of data engineering best practices.

Requirements

  • Proven experience as a Data Engineer or in a similar role.
  • Strong proficiency in data warehousing, ETL/ELT processes, and data modeling.
  • Expertise in at least one major cloud platform (e.g., AWS, GCP, Azure).
  • Solid programming skills in languages such as Python or Scala.
  • Excellent problem-solving and analytical abilities.

What We Offer

  • The opportunity to work on impactful projects at the forefront of e-commerce technology.
  • A collaborative and innovative work environment.
  • Continuous learning and professional development opportunities.
  • The ability to influence the technical direction of a growing company.

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