Senior Staff Engineer, Measurement

Shopify

Confirmed live yesterday High trust

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On-site
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Posted
179 days ago
Freshness
Confirmed live yesterday

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Similar $187k
$137k $240k
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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.

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At a glance

TL;DR · Senior Staff Engineer, Measurement

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As a Senior Staff Engineer on the Measurement team, you will lead the development of marketing analytics tools that help merchants optimize customer acquisition and maximize return on ad spend. You will design scalable data pipelines for marketing analytics and attribution models, building integrations with partners like Google, Meta, Pinterest, and TikTok for real-time ad data processing. Your daily work involves developing analytics systems using streaming technologies like Flink, Spark, and Kafka for large datasets. You will own end-to-end delivery from prototyping to production APIs, optimizing data processing efficiency with SQL and ClickHouse. You will also solve complex attribution challenges, including multi-touch attribution and AI metrics, while collaborating with data scientists and product managers to provide unbiased insights for e-commerce analytics.

Skills

Apache Flink Kafka SQL ClickHouse Spark Ruby APIs Data Pipelines Attribution Modeling Data Engineering Performance Optimization

What you'll do

  • Design scalable data pipelines for marketing analytics and attribution models.
  • Build integrations with partners like Google, Meta, and TikTok for real-time ad data.
  • Develop analytics systems using streaming technologies like Flink and Kafka.
  • Own end-to-end delivery of measurement tools from prototyping to production APIs.
  • Optimize data processing efficiency using SQL and ClickHouse for fast query latencies.
  • Evolve measurement infrastructure for multi-touch attribution and AI metrics.
  • Mentor engineers and provide technical leadership on unbiased data insights.

What we're looking for

  • Proven data engineering experience building scalable analytics systems.
  • Strong skills in streaming technologies like Apache Flink, Spark, and Kafka for real-time processing.
  • Expertise in analytics, attribution modeling, and marketing or e-commerce metrics.
  • Experience with APIs for data integrations and strong SQL proficiency.
  • Skills in performance optimization for data pipelines and large datasets.
  • Ability to collaborate with data scientists, product managers, and other cross-functional teams.
  • Ruby proficiency (preferred).

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