Senior Staff Engineer - Measurement

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.