Senior Data Engineer (Remote, Canada)

Shopify

Anywhere Remote only

Full time

Engineering

May 9

About the role

Our Data 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)




  • #Senior Software Developer- Distributed Systems #Senior Software Developer- Data Engineering #Senior Data App Developer #Senior Data Reliability Engineer #Senior Software Developer- Reliability

 

As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.

#LI-REMOTE 

Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

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.

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