Staff Data Engineer — High-Impact ETL for Search

Bzpp; United States; On-site; USD 164,000 - 282,000; Full time

Benefits offered by this job

Annual bonus 0-20% of base salary

401K with company match

PTO 18-21 days annually

Paid holidays

Parental leave

Job summary

Coupang’s Search and Discovery team delivers a world-class shopping experience, from intent-based search to serendipitous discovery for millions of daily customers. The Data Science and Analytics group designs, tests, and operationalizes data models, ETL pipelines, and logging to power search quality.

You will partner with Product and Engineering to ensure data quality, security, and scalable systems across the data lifecycle.

Qualifications

• Bachelor's degree in CS or equivalent required.
• Experience with data modeling, ETL, Python, and SQL.
• 6+ years as a data engineer in a tech company.

Responsibilities

• 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.

Skills

Data modeling

ETL

Python

SQL

Education

Bachelor's degree in Computer Science or equivalent

Tools

HDFS

S3

Airflow

Dagster

DBT

Job description

Coupang’s Search and Discovery team delivers a world-class shopping experience, from intent-based search to serendipitous discovery for millions of daily customers. The Data Science and Analytics group designs, tests, and operationalizes data models, ETL pipelines, and logging to power search quality.

You will partner with Product and Engineering to ensure data quality, security, and scalable systems across the data lifecycle.