Senior Staff Engineer, Measurement

Shopify

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: —
Posted: 133 days ago
Freshness: Confirmed live 2 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $181k

$138k most similar roles pay here $224k

This listing doesn't post a salary. Most similar roles pay $146,500–$215,312.

Based on 240 similar postings.

Employer

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 19 open roles on FindRole.

Most-posted roles

View all roles at Shopify

At a glance

TL;DR · Senior Staff Engineer, Measurement

Role Posting Log in to save

As a Senior Staff Engineer - Measurement, you will join the measurement team to lead the development of advanced marketing analytics tools designed to help merchants optimize customer acquisition and maximize return on ad spend. You will be responsible for designing scalable data pipelines for attribution models, building integrations with partners like Google, Meta, Pinterest, and TikTok, and developing analytics systems using streaming technologies such as Flink and Kafka. Your daily work involves owning the end-to-end delivery of measurement tools from prototyping to production APIs while optimizing data processing efficiency using SQL and ClickHouse. You will solve complex attribution challenges and address emerging paradigms like multi-touch attribution and AI metrics. The role requires expertise in Spark, API integrations, and performance optimization for large datasets to provide unbiased insights into paid advertising performance.

What does a Engineer earn?

Median $185000 from 249 postings across 48 companies.

See salary data

Skills

SQL Apache Flink Kafka Spark ClickHouse Ruby APIs Data Pipelines Streaming Attribution Modeling Real-time Processing

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 processing.
Develop analytics systems using streaming technologies such as Flink and Kafka.
Manage the end-to-end delivery of measurement tools from prototyping to production APIs.
Optimize data processing efficiency and query latencies using SQL and ClickHouse.
Evolve infrastructure to support multi-touch attribution and AI metrics.
Influence the product roadmap and advocate for strategic direction with executive stakeholders.

What we're looking for

Proven experience in data engineering building scalable analytics systems.
Proficiency in streaming technologies such as Apache Flink, Spark, and Kafka for real-time processing.
Expertise in analytics, attribution modeling, and marketing or e-commerce metrics.
Strong SQL proficiency and experience with APIs for data integrations.
Ability to optimize performance for data pipelines and large datasets.
Experience using ClickHouse for high-performance query latencies.
Ability to collaborate effectively with data scientists, product managers, and executive stakeholders.