Staff Data Engineers

Build the data systems that power global commerce. As a Staff Data Engineer at Shopify, you'll architect pipelines that transform complex information into valuable insights. Your work will shape our technical direction and help millions of merchants make smarter decisions. Whether optimizing data models or creating new analytics tools, your expertise drives what's possible here. Ready to solve challenges that matter?
Key Responsibilities:
- Design and implement scalable models and streaming or real-time pipelines that drive insights and innovation.
- Transform raw information into intelligence to support merchant success and excellence.
- Collaborate closely with product teams to ensure quality and integrity across platforms.
- Optimize workflows and infrastructure to enhance performance and scalability.
- Lead efforts in peer-reviewing and standardizing practices to uphold benchmarks.
This role may require on-call work.
Qualifications:
- Experience designing and building streaming or real-time data pipelines, including hands-on work with event-driven architectures and high-throughput data systems (e.g., Flink, Spark Streaming, Kafka, or equivalent).
- Extensive data modeling experience, utilizing various paradigms and techniques.
- Strong analytical skills and experience with visualization tools.
- Proficiency with SQL, Python, and relevant technologies.
- Experience with batch transformation and warehouse layers on cloud platforms such as AWS, GCP, or Azure.
- Proven ability to translate complex information into strategic insights while working effectively with teams.
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.
Ready to turn raw data into product gold? Join the team that’s making commerce better for everyone.