Senior Data Engineer - Data Platforms (Remote, Americas)
Dallas, TX, United States
Shopify
Try Shopify free and start a business or grow an existing one. Get more than ecommerce software with tools to manage every part of your business.Company Description
Shopify is the leading omni-channel commerce platform. Merchants use Shopify to design, set up, and manage their stores across multiple sales channels, including mobile, web, social media, marketplaces, brick-and-mortar locations, and pop-up shops. The platform also provides merchants with a powerful back-office and a single view of their business, from payments to shipping. The Shopify platform was engineered for reliability and scale, making enterprise-level technology available to businesses of all sizes.
Job Description
At Shopify, Senior Data engineers use their expertise and passion to multiply the overall output of their group. You and the team will empower all teams at Shopify to build data platform applications. Data Scientists depend on the work you do to get their job done. You will maintain a high bar for quality and mentor other engineers. And of course, you will be hands-on in the code and contribute technically.
As a technical leader of the Data Platform, you will:
Contribute to the development of systems for discovering, transforming and exploring large scale datasets
Work closely with peer teams in Data Platform to build out scalable solutions
Collaborate on system architecture, design and drive implementation of Data Platform solutions
Work closely with Shopify’s Data Scientists to build for their workflows
Qualifications
Experience and skills that are important for success in this role:
Proven track record of success in providing technical leadership to large software development teams where strong technical mentorship is important
Experience working with data technologies (such as Apache Iceberg, Apache Spark, DBT, Trino)
Experience with the internals of large scale data engines (such as Apache Flink / Apache Spark / Trino)
Track record of productionizing distributed systems
End to end experience with technologies used for processing large scale data
Experience building and supporting the technical vision of distributed systems
Experience with cloud infrastructure (Google Cloud Platform, Kubernetes, Terraform)
Exceptional communication skills
Preferred qualifications:
Committer to the Iceberg/Trino/Airflow/PySpark/DBT communities or to other distributed data related open-source software projects
Experience with Experience with modern big data storage technologies (Apache Iceberg, Trino, Flink)
Additional Information
An opportunity to have massive impact. Joining us in the beginning of our journey, you will help us evolve the data platform to enable data processing applications processing data from millions of shops with strict reliability and performance needs. You will help us make working with data easy and operationally mature at Shopify.
A group of exceptionally talented and dedicated peers with which to collaborate. You will be joining a group of 40+ engineers as a senior technical lead,.
A constant stream of new things to learn. We're always expanding into new areas, bringing in open source projects, contributing back, and exploring new technologies.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture Big Data Distributed Systems Flink GCP Google Cloud Kubernetes Open Source PySpark Spark Terraform
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