Shopify

Senior Staff Engineer - Measurement

  • Remote · Americas
  • Remote
  • Full-time

Found on Guap . The company's page gives no posting date; this is when Guap found it.

About the role

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Senior Staff Engineer - Measurement

  • Remote - Americas
  • Engineering & Data

About the role

About the role

Join Shopify's dynamic engineering team, where code is core and innovation drives commerce forward. As a Senior Staff Engineer on the Measurement team, you'll lead the development of cutting-edge marketing analytics tools that empower merchants to optimize customer acquisition and maximize return on ad spend. Collaborate with data engineers, product teams, and partners to build unbiased insights, integrations, and reports that analyze paid advertising performance. Help shape the future of e-commerce analytics in a fast-paced environment, solving complex attribution challenges to make data-driven decisions accessible for entrepreneurs worldwide.

Key Responsibilities

  • Design scalable data pipelines for marketing analytics and attribution models measuring ad impact.
  • Build integrations with partners (e.g., Google, Meta, Pinterest, TikTok) for real-time ad data processing.
  • Develop analytics systems using streaming tech like Flink and Kafka for large datasets and timely insights.
  • Own end-to-end delivery of measurement tools, from prototyping to production APIs and reports.
  • Optimize data processing efficiency with SQL, ClickHouse, and analytics for fast query latencies.
  • Influence product roadmap and advocate strategic direction with executive stakeholders.
  • Evolve measurement infrastructure for emerging paradigms like multi-touch attribution and AI metrics.
  • Mentor engineers and collaborate on unbiased insights to optimize merchant ad strategies.

Qualifications

  • Proven data engineering experience building scalable analytics systems.
  • Strong skills in streaming tech like Apache Flink, Spark, and Kafka for real-time processing.
  • Expertise in analytics, attribution modeling, and marketing/e-commerce metrics.
  • Experience with APIs for data integrations and strong SQL proficiency.
  • Ruby is a plus but not required.
  • Skills in performance optimization for data pipelines and large datasets.
  • Strong collaboration with teams like data scientists and product managers.

At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you’re ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a pair programming interview, using your own IDE.

This role may require on-call work.

Ready to craft the world’s best marketing analytics tools and drive data-powered commerce forward? Join us and make commerce better for everyone.

About Shopify

Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.

This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

About you

Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

Before you apply, consider if you can

  • Care deeply about what you do and about making commerce better for everyone
  • Excel by seeking professional and personal hypergrowth
  • Keep up with an unrelenting pace (the week, not the quarter)
  • Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
  • Bring critical thought and opinion
  • Put AI agents and tools to work on the tasks they're built for, and focus on the work only humans can do
  • Embrace differences and disagreement to get shit done and move forward
  • Work digital-first for your daily work

We may use AI-enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team.

Shopifyhttps://www.shopify.com

We hire people, not resumes. If you think you’re right for the role, apply now

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