Remote Data Engineer: ETL, Modeling & Analytics

Temu; United States; On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

PTO

Paid Sick Leave

402(k) Plan

Job summary

Temu is seeking a Data Engineer to join our remote US team. You will design and optimize data models, build robust ETL pipelines, and support data warehousing initiatives to empower data-driven decision making across Product, Engineering, and Business teams.

The role emphasizes collaboration, scalable data architectures, and delivering actionable insights that improve product and operational outcomes for a fast-growing company.

Qualifications

• Minimum of 3 years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with SQL.
• Strong communication and teamwork skills.
• BS/MS in Computer Science, Math, Economics, Statistics, or related fields.

Responsibilities

• Establish a robust business metric framework tied to the overarching goals of the business team.
• Analyze business processes to identify challenges and opportunities, providing data-driven recommendations for strategic business decisions, product development, and operational optimization.
• Formalize analytical frameworks, translate business needs into concrete data requirements, and collaborate with cross-functional teams (e.g., Product, Engineering) to drive business impact and commercial value.

Skills

Data Modeling

ETL Pipelines

SQL

Data Warehousing

Communication

Education

BS/MS in Computer Science, Math, Economics, Statistics, or related fields

Tools

BigQuery

Spark

Airflow

Job description

Temu is seeking a Data Engineer to join our remote US team. You will design and optimize data models, build robust ETL pipelines, and support data warehousing initiatives to empower data-driven decision making across Product, Engineering, and Business teams.

The role emphasizes collaboration, scalable data architectures, and delivering actionable insights that improve product and operational outcomes for a fast-growing company.