Data Infrastructure Engineer

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.

Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 46 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, , , eBay, Tmall, Tik Tok Shop, JD, and Mercado Libre.

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Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.

We are looking for a Staff Data Infrastructure Engineer to lead design, architecture and implementation of the next generation of data infrastructure and platform to enable our partners and employees across the company to find actionable, high quality insights more efficiently, predictably and sustainably.

This is a full-time role and will work a hybrid schedule based in Lehi, Utah.

• What is a day in the life of a Staff Data Infrastructure Engineer?
• Build and maintain scalable, high-performance data infrastructure and platform to support the company's data usage and analytics needs.
• Design and implement solutions that reduce friction in accessing and using data across the organization.
• Collaborate cross-functionally with engineering, data, and product teams to ensure the platform meets diverse data requirements.
• Continuously improve and optimize data pipelines, making data easily accessible and usable for various teams.
• Invest into automation daily to simplify data infrastructure and platform, continuously improving reliability, security, quality, and performance.
• Troubleshoot and resolve complex issues in data systems, ensuring smooth operation and data integrity.
• Stay updated with the latest trends and technologies in data engineering to drive innovation and efficiency in the company’s data infrastructure.

• 8+ years of experience in data infrastructure and / or backend software engineering.
• Solid experience working with cloud platforms and services such as AWS, Kubernetes, Kafka, and EMR to build and manage scalable data infrastructures. While familiarity with data tools like Snowflake and / or Databricks is a plus
• Hands-on experience with data processing engines like Spark is highly desirable.
• Strong software engineering skills, with the ability to write clean, efficient, and maintainable code in one or more languages like Python, GoLang, Java, Ruby, or C++.
• Demonstrated ability to solve complex problems, take initiative, and collaborate effectively across teams.
• Proven leadership abilities and a proactive, "can-do" attitude in managing projects and delivering high-quality results.

• Innovate proactively, finding solutions that significantly improve data access and infrastructure efficiency.
• Lead cross-functional efforts to enhance collaboration and optimize platform performance.
• Deliver scalable infrastructure upgrades that greatly improve the company's ability to harness data effectively.
• Mentor team members, driving a culture of growth and technical excellence.
• Set industry-leading best practices, ensuring adoption of cutting-edge technologies and processes.

• In this role, you’ll work closely with other data and engineering team members and have opportunities to be mentored, mentor others, and interact with many departments  are passionate about promoting our Pattern people…