Director, Data Engineering

Posted 4 Days Ago
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Mountain View, CA, USA
In-Office
Senior level
eCommerce • Fintech • Logistics • Retail
The Role
Leads a team of data engineers building and managing high-volume analytics and production ETL/ELT systems for Search and Discovery. Partners with Data Science, Engineering, and Product to ensure reliable search data implementation and usage. Oversees data quality, observability, security, compliance, system performance, cost efficiency, scalability, and SLAs. Requires strong data engineering, distributed processing, storage, scheduling, Python, SQL, and people management experience.
Summary Generated by Built In

Please complete the attached Internal Transfer Request Form and submit.  

Please make sure to apply with your Coupang e-mail address.  

  

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

  • 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)
  • Experience with ETL schedulers (e.g. Airflow, Dagster, DBT)

Preferred Qualifications

  • Experience with massive datasets, with an understanding of how to optimize data extraction
  • Expertise in experimentation and statistics
  • Ability to communicate data concepts simply and succinctly to cross-functional team members, up to the C-suite
  • Understanding of ML concepts, and how different model configurations affect model outcomes
  • Experience in e-commerce and/or search

General Description of All Benefits

  • Medical/Dental/Vision/Life, AD&D insurance
  • Flexible Spending Accounts (FSA) & Health Savings Account (HAS)
  • Long-term/Short-term Disability
  • Employee Assistance Program (EAP) program
  • 401K Plan with Company Match
  • 18-21 days of Paid Time Off (PTO) a year based on the tenure
  • 12 Paid Holidays
  • Paid Parental leave
  • Pre-tax commuter benefits
  • MTV- [Free] Electric Car Charging Station

General Description of Other Compensation

“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary or wage scale.

Privacy Notice

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender(including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate.

If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at [email protected].

Job Requisition ID: R0076108

Equal Opportunities for All

  • Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

Recruitment Process and Others  

Recruitment Process  

  • Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
  • The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
  • Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. 

Details to Consider 

  • This job posting may be closed prior to the stated end date for application if all openings are filled.
  • Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
  • Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 

Privacy Notice  

  • Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/  

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at [email protected].   

  

 

Please complete the attached Internal Transfer Request Form and submit.  

Please make sure to apply with your Coupang e-mail address.  

 

Skills Required

  • 8 years of data engineering experience in customer-facing technology companies
  • 3 or more years of experience as a people manager
  • Proficiency in data modeling, ETL, Python, and SQL
  • Experience with distributed processing technologies and frameworks and distributed storage systems such as Spark, HDFS, and S3
  • Experience with ETL schedulers such as Airflow, Dagster, or dbt
  • Experience with massive datasets and optimizing data extraction
  • Expertise in experimentation and statistics
  • Ability to communicate data concepts clearly to cross-functional stakeholders, including executives
  • Understanding of machine learning concepts and model configuration impacts
  • Experience in e-commerce or search
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The Company
108,000 Employees
Year Founded: 2010

What We Do

Coupang is a U.S. technology and global commerce company founded in 2010, operating online retail and cross-border commerce, restaurant delivery, video streaming, and fintech/payment services. Through brands including Coupang, Eats, Play, Rocket Now, and Farfetch, it uses technology, logistics, and fulfillment infrastructure to serve millions of customers in Korea, Taiwan, the United States, and more than 190 countries and territories worldwide.

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