Staff Data Infrastructure Engineer

Job Description

Job Description

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, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email press@pattern.com.

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.

Frequently Asked Questions

• 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.

What will I need to thrive in this role?

What does high performance look like?

What is my potential for career growth?

What does success look like in the first 30, 60, 90 days?

First 30 Days :

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What is the team like?

Sounds great! What’s the company culture?

We are looking for individuals who are :

What is the hiring process?

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Why should I work at Pattern?

Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.