Staff Data Engineer

About the Role

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’re collectively disrupting the multi-billion-dollar commerce industry from the ground up. We are an American technology company and one of the fastest-growing retail companies that has established an unparalleled reputation for being a leading and reliable force in global commerce.

The Data Platform team at Coupang is the primary technical authority driving the architecture, resiliency, and automation of Coupang’s foundational data infrastructure. We design and execute an end-to-end strategy for distributed data processing systems capable of handling petabyte-scale data ingestion, storage, and processing with sub-second/real-time latencies. Our team manages many critical data domains and supports high-volume real-time and batch data operations.

In this role, you will lead the technical roadmap to scale our platform, build self-service automation to eliminate operational friction, and establish rigorous data quality and SLA governance frameworks across the organization. You will mentor engineers, break single points of failure across domains, and work closely with senior engineering leaders to align platform capabilities with business growth.

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

Qualifications

Minimum Qualifications

• 8+ years of relevant industry experience as a data engineer in a technology company
• Bachelor's degree in Computer Science or equivalent

Preferred Qualifications

• 10+ 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

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $164,000/year in our lowest geographic market to $282,000/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.

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.

Benefits

• Annual bonus is 0-20% of the base salary
• Medical/Dental/Vision/Life, AD&D insurance
• Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP)
• 401K Plan with Company Match
• 18-21 days of Paid Time Off (PTO) a year based on tenure
• 12 Public Holidays
• Paid Parental leave
• Pre-tax commuter benefits