Senior Data 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 66 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®. As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting and building the very foundatio [... source excerpt omitted ...] at is a day in the life of a Senior Data Engineer? Designing and implementing robust ETL/ELT pipelines using Airflow, DBT, and cloud-native architectures. Writing sophisticated, production-grade Python code to automate data orchestration and processing. Building/optimizing complex SQL queries and dimensional models for OLAP and OLTP based systems Collaborating with cross-functional teams to ingest and harmonize data from dozens of global marketplaces. Building and maintaining infrastructure-as-code and containerized workflows to ensure platform reliability. Leveraging AI thoughtfully to optimize processes and workflows What will I need to thrive in this role? Bachelor’s deg [... source excerpt omitted ...] existing projects. 60 Days: Identify and implement at least one major performance optimization within the data environment and lead a small-scale pipeline project. 90 Days: Take responsibility for a significant segment of data processes, collaborating with other engineers and contributing to the long-term roadmap for lakehouse integration. What is the team like? This role reports directly to the Director of Data Engineering. You will be joining a growing team of data professionals that span multiple geographies. In this role, you will collaborate closely with Data Scientists, Software Engineers, AI Engineers, and Product Managers as well as other departments including Marketing