13 days ago

Staff Data Engineers Americas

Shopify

Remote
Full Time
$150,000
Remote

Job Overview

Job TitleStaff Data Engineers Americas
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$150,000
LocationRemote

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Job Description

About Staff Data Engineers Americas

Build the data systems that power global commerce. As a Staff Data Engineer at Shopify, you will architect pipelines transforming complex information into valuable insights. Your work shapes technical direction and helps millions of merchants make smarter decisions.

Key Responsibilities

  • Design and implement scalable models and pipelines.
  • Transform raw data into strategic intelligence.
  • Collaborate with product teams for data quality.
  • Optimize workflows and infrastructure for performance.
  • Lead peer-review and standardize engineering practices.

Qualifications

  • Extensive data modeling experience.
  • Strong analytical skills and visualization expertise.
  • Proficiency in SQL, Python, and key technologies.
  • Experience with batch transformation on cloud platforms like AWS, GCP, or Azure.
  • Adept at translating complex data into insights.

Additional Details

This role may require on-call work. Shopify moves quickly and expects you to be ready for interviews within a week, with the entire process completed in 30 days.

About Shopify

Shopify empowers entrepreneurs and enterprises, driving over $1 trillion in sales since 2006. It is a place where ambition meets opportunity and where diversity propels innovation.

About You

You thrive in fast-paced, ambiguous situations, maintain resilience, and work digital-first. You are ready to embrace rapid change and contribute critical thinking to get things done.

Key skills/competency

data modeling, pipelines, analytics, SQL, Python, AWS, GCP, Azure, cloud, visualization

Tags:

Staff Data Engineers Americas
data modeling
pipelines
analytics
SQL
Python
AWS
GCP
Azure
cloud

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How to Get Hired at Shopify

  • Research Shopify's culture: Explore their mission, values, and success stories.
  • Customize your resume: Emphasize data modeling and cloud expertise.
  • Practice technical questions: Focus on SQL, Python, and cloud scenarios.
  • Prepare behavioral examples: Highlight teamwork and adaptability.

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