Job Opportunities API

The Public Ledger of Openings

← Back to the ledger

Director, Data Engineer

Coupang Internal
CompanyCoupang Internal
CategoryUncategorised
LocationMountain View
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted30 Jul 2026
Last verified7 Aug 2026
SourceEmployer ATS (greenhouse)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Please complete the attached Internal Transfer Request Form  and submit.     Please make sure to apply with your Coupang e-mail address .           Company Introduction     We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading 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 S&D, the Data Science, Analytics, and Data Engineering 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 Analyze how customers interact with Coupang’s search results to determine how to improve customer experience and business performance Lead experiment ideation, design, measurement, and interpretation Build datasets to increase the speed and accuracy with which the team analyzes data Understand the nuances of ML ranking models, LLMs, and more to determine how our core search product can be optimized Lead a small team of Data Engineers to 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 8 years of Data Engineering experience in customer-facing technology companies 3+ years experience as a people manager Proficiency in Data modeling, ETL, Python and SQL Experience with distributed processing technologies and frameworks and distributed storage systems (e.g. Spark, HDFS, S3) Expe