- Страна
- США
- Зарплата
- 142 000 $ – 309 000 $
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Staff Data Engineer, Search and Discovery
Отличная позиция в одной из самых быстрорастущих e-commerce компаний мира с прозрачной вилкой зарплаты и сильным соцпакетом. Работа над критически важным продуктом (Search & Discovery) обеспечивает высокий уровень влияния и профессионального вызова.
Сложность вакансии
Роль уровня Staff требует не только глубоких технических знаний (Python, SQL, Airflow, S3), но и умения проектировать сложные системы с учетом стоимости и масштабируемости. Высокая планка ожиданий по опыту (от 6-8 лет) и работа с огромными объемами данных e-commerce делают позицию сложной.
Анализ зарплаты
Предложенная вилка ($142k - $309k) полностью соответствует рыночным стандартам для Staff-позиций в технологических хабах США, таких как Маунтин-Вью и Сиэтл. Верхняя граница диапазона является весьма конкурентной даже для Tier-1 компаний.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Data Engineer position within the Search and Discovery team at Coupang. With over 8 years of experience in building robust data architectures and a deep proficiency in Python, SQL, and distributed systems like HDFS and S3, I have consistently delivered scalable ETL/ELT solutions that drive business-critical insights. My background in optimizing high-volume data ingestion and ensuring data reliability aligns perfectly with Coupang's mission to provide a world-class shopping experience.
In my previous roles, I have successfully partnered with Data Science and Product teams to implement complex logging systems and manage SLAs for large-scale data platforms. I am particularly drawn to Coupang's unique blend of a startup culture and the resources of a global public company. I am eager to bring my expertise in Airflow and data observability to help Coupang continue its rapid growth and further enhance the search journey for millions of daily customers.
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Откликнитесь в coupang уже сейчас
Присоединяйтесь к команде Coupang и создавайте будущее e-commerce на стыке поиска и рекомендаций!
Описание вакансии
(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 S&D, 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, AD&D insurance
- Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
- Long-term/Short-term Disability
- Employee Assistance Program (EAP) program
- 401K Plan with Company Match
- 18-21 days of the 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 range or wage scale.
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 usrecruiting@coupang.com.
Requisition ID: R0068202
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Навыки
- Python
- SQL
- dbt
- Airflow
- Distributed Systems
- ETL
- Data Quality
- Dagster
- S3
- ELT
- HDFS
- Data Observability
Возможные вопросы на собеседовании
Для уровня Staff важно понимать, как кандидат балансирует между производительностью и затратами на инфраструктуру.
Расскажите о случае, когда вам удалось значительно оптимизировать стоимость хранения или обработки данных в крупном проекте. Каких компромиссов это потребовало?
Поиск в Coupang генерирует огромные потоки данных. Вопрос проверяет навыки проектирования отказоустойчивых систем.
Как бы вы спроектировали систему логирования для поиска, которая должна обрабатывать миллионы событий в секунду с минимальной задержкой и гарантированной доставкой?
Вакансия подразумевает тесное взаимодействие с Data Science. Важно понять, как инженер обеспечивает качество данных для моделей.
Как вы организуете процесс обеспечения качества данных (Data Quality) и мониторинга (Observability) в пайплайнах, результаты которых напрямую влияют на модели ранжирования поиска?
Проверка опыта работы с распределенными системами.
В чем заключаются основные сложности при масштабировании ETL-процессов на базе Airflow и Spark при работе с петабайтными хранилищами в S3?
Staff-инженер должен уметь договариваться и выстраивать процессы.
Как вы подходите к определению и соблюдению SLA для данных в условиях, когда источники данных (upstream) нестабильны или часто меняют схему?
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- Страна
- США
- Зарплата
- 142 000 $ – 309 000 $