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Staff Data Engineers
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: FullTime
From the employer’s posting
What you’ll work on
Full postingDesign and implement scalable data models and streaming or real-time pipelines
Transform raw information into insights that support merchant success
Collaborate with product teams to keep data quality and integrity across platforms
Optimize workflows and infrastructure for performance and scalability
Lead peer reviews and standardize data engineering practices
From the employer’s posting
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.
What you’ll bring
All qualificationsCore experience
- 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).
- 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.
Qualification wording
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).
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.
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 20266 days ago
- Recorded sightings
- 7
- Last seen by us
- Nov 4, 2026
- Employer says posted
- May 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Shopify is hiring
20 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- GCP
- Kafka
- Spark
Where the posting names them
- 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.
- 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.
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.
Your next step
Complete your application on www.shopify.com. The employer’s form will show what is required.
Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Americas
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- Work authorization
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