Staff Data Engineer, Search and Discovery

Coupang
Mountain View, USAPosted 26 March 2026

Job Description

(This role is open to both Mountain View and Seattle location) We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception . We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview The Search and Discovery team is responsible for creating a world class search and discovery shopping experience for our customers, from “intent” based shopping to delighting the customer with serendipitous product discovery on every visit. We are obsessed with optimizing the entire search customer journey, from query understanding and search relevance to personalized and category/mission aware search and recommendation experiences. We believe the experience of finding the right fresh groceries should be personal and different from shopping for a new laptop or your next pair of jeans. Search and Recommendations drive over 70% of product discovery for our millions of daily customers, so the scale and impact of our work is massive! Within SD, the Data Science and Analytics team analyzes customer data to determine how our Search models should be designed. This includes assessing how customers interact with our search results, analyzing experiments, building predictive models, and much more. We partner with Product and Engineering to turn these insights into changes to our Search models. What You Will Do Ideate, build, and manage analytics and production data ETL/ELT systems for high-volume data ingestion from diverse sources Partner with Data Science, Engineering, and Product to enable reliable, accurate logging/implementation and usage of Search data Ensure data quality, observability, and reliability across the data lifecycle Optimize systems for performance, cost efficiency, and scalability Define and manage SLAs for data systems Ensure security and compliance of data per industry standards Minimum Qualifications 6 years of relevant industry experience as a data engineer in a technology company Bachelor's degree in Computer Science or equivalent Preferred Qualifications 8+ years experience in data/engineering overall Proficiency in Python and SQL Experience with distributed processing technologies and frameworks and distributed storage systems (e.g. HDFS, S3) Experience with ETL schedulers (e.g. Airflow, Dagster, DBT) Pay Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $142 , 000/year in our lowest geographic market to $309,000 /year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits Medical/Dental/Vision/Life, ADD insurance Flexible Spending Accounts (FSA) Health Savings Accoun ... (truncated, view full listing at source)
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