About the role
Our Data Platform Engineering group builds and maintains the platform that delivers accessible data to power decision-making at Shopify for millions of merchants. We’re hiring high-impact developers across teams:
- The Engine group organizes all merchant and Shopify data into our data lake in highly-optimized formats for fast query processing, and maintaining the security + quality of our datasets.
- The Analytics group builds products that leverage the Engine primitives to deliver simple and useful products that power scalable transformation of data at Shopify in batch, or streaming, or for machine learning. This group is focused on making it really simple for our users to answer three questions: What happened in the past? What is happening now? And, what will happen in the future?
- The Data Experiences group builds end-user experiences for experimentation, data discovery, and business intelligence reporting.
- The Reliability group operates the data platform efficiently in a consistent and reliable manner. They build tools for other teams at Data Platform to leverage to encourage consistency and they champion reliability across the platform.
Qualifications
While our teams value specialized skills, they've also got a lot in common. We're looking for a(n):
- High-energy self-starter with experience and passion for data and big data scale processing. You enjoy working in fast-paced environments and love making an impact.
- Exceptional communicator with the ability to translate technical concepts into easy to understand language for our stakeholders.
- Excitement for working with a remote team; you value collaborating on problems, asking questions, delivering feedback, and supporting others in their goals whether they are in your vicinity or entire cities apart.
- Solid software engineer: experienced in building and maintaining systems at scale.
A Senior Data Developer at Shopify typically has 4-6 years of experience in one or more of the following areas:
- Working with the internals of a distributed compute engine (Spark, Presto, DBT, or Flink/Beam)
- Query optimization, resource allocation and management, and data lake performance (Presto, SQL)
- Cloud infrastructure (Google Cloud, Kubernetes, Terraform)
- Security products and methods (Apache Ranger, Apache Knox, OAuth, IAM, Kerberos)
- Deploying and scaling ML solutions using open-source frameworks (MLFlow, TFX, H2O, etc.)
- Building full-stack applications (Ruby/Rails, React, TypeScript)
- Background and practical experience in statistics and/or computational mathematics (Bayesian and Frequentist approaches, NumPy, PyMC3, etc.)
- Modern Big-Data storage technologies (Iceberg, Hudi, Delta)
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At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
Shopify is now permanently remote and working towards a future that is digital by design. Learn more
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How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.