Senior Staff Engineer - Measurement

Shopify

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Work type: On-site
Location: —
Posted: 45 days ago

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How this pay compares to similar roles

Similar $191k

$136k most similar roles pay here $240k

This listing doesn't post a salary. Most similar roles pay $159,550–$222,000.

Based on 239 similar postings.

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About Shopify

Shopify is a leading global commerce platform that enables businesses of all sizes to start, grow, and manage their retail operations online and in-person. It provides tools for storefronts, payments, shipping, and marketing to millions of merchants worldwide.

Shopify currently has 28 open roles on FindRole.

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At a glance

TL;DR · Senior Staff Engineer - Measurement

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As a Senior Staff Engineer on Shopify's Measurement team, you will lead the development of advanced marketing analytics tools that help merchants optimize their advertising strategies and maximize ROI. Your daily responsibilities include designing scalable data pipelines and attribution models, building real-time integrations with major ad platforms like Google and Meta, and developing streaming analytics systems using technologies such as Flink and Kafka. You will also own the end-to-end delivery of measurement tools from prototyping to production, optimize SQL queries for fast performance, and collaborate closely with product teams and data scientists to influence strategic direction. This role requires expertise in scalable analytics systems, real-time processing, and marketing metrics, making it ideal for someone passionate about shaping the future of e-commerce analytics at a global scale.

Skills

Apache_Flink Kafka SQL ClickHouse Ruby APIs Spark Python PostgreSQL Docker CI/CD AWS Git GitHub Jenkins

What you'll do

Design scalable data pipelines for marketing analytics and attribution models.
Build real-time ad data integrations with partners like Google, Meta, and TikTok.
Develop analytics systems using streaming technologies such as Flink and Kafka.
Own end-to-end delivery of measurement tools from prototyping to production APIs.
Optimize data processing efficiency with SQL and ClickHouse for fast query latencies.
Influence product roadmap by advocating strategic direction with executive stakeholders.
Evolve measurement infrastructure for emerging paradigms like multi-touch attribution.

What we're looking for

Proven experience in building scalable data engineering systems.
Expertise in real-time streaming technologies like Apache Flink, Spark, Kafka.
Strong background in analytics, attribution modeling, and e-commerce metrics.
Proficiency in SQL and API development for data integrations.
Experience optimizing performance of data pipelines and large datasets.
Ability to collaborate with cross-functional teams including product managers.
Influence product roadmap and advocate strategic direction with stakeholders.

Careers

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San Diego, CA 18 days ago

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