Senior Data Engineer III

Shein; San Diego (CA); On-site; USD 183,360 - 205,000; Full time

Job summary

SHEIN TECHNOLOGY LLC in San Diego, CA is seeking a Sr. Data Engineer III to design and maintain scalable ETL pipelines, collaborate with global teams, and ensure data quality across distributed systems. The role emphasizes building robust data architectures, optimizing performance, and maintaining security and availability.

Responsibilities include monitoring production pipelines, performing root‑cause analysis, and documenting system designs for technical stakeholders.

Qualifications

• Bachelor’s degree in a related field with 4+ years of post‑baccalaureate experience.
• Experience building large‑scale distributed data pipelines.
• Strong SQL skills for large datasets and data warehousing.

Responsibilities

• Design, develop, and maintain scalable ETL data pipelines across distributed systems.
• Analyze data requirements and implement quality assurance for data processing.
• Monitor pipelines for performance, reliability, and fault diagnosis.
• Ensure data integrity, security, and availability through proper modeling and access controls.
• Collaborate with cross‑functional teams and document architectures and procedures.
• Participate in on‑call rotations to support production systems.

Tools

Hive

Presto

Spark

Flink

Amazon Redshift

Airflow

AWS EMR

AWS S3

Job description

Employment Type

Full-time or part-time: Full-time

Position Summary

SHEIN TECHNOLOGY LLC is seeking a Sr. Data Engineer III in San Diego, CA to collaborate with global teams across data, security, infrastructure, and business functions to analyze data requirements and design scalable data engineering solutions.

Job Title

Sr. Data Engineer III

Job Location

3111 Camino Del Rio N, Suite 1300, San Diego, CA 92108

Job Description

Collaborate with global teams across data, security, infrastructure, and business functions to analyze data requirements and design scalable data engineering solutions.

Design, develop, and maintain efficient and scalable data pipelines to extract, transform, and load (ETL) data across distributed systems.

Apply data validation and quality assurance techniques to ensure the accuracy, consistency, and completeness of data throughout data processing workflows.

Analyze and optimize data pipelines and processing jobs for performance, scalability, and reliability by identifying and addressing system‑level inefficiencies.

Ensure data integrity, security, privacy, and high availability through appropriate data modeling, access controls, and system architecture design.

Monitor data pipelines and distributed data processing systems to identify abnormal behavior, diagnose technical issues, and implement corrective actions in production environments.

Perform technical root cause analysis of data processing issues and collaborate with cross‑functional teams to implement long‑term, preventative solutions.

Develop and maintain technical documentation for data pipeline designs, system architectures, and operational procedures, and communicate technical updates to stakeholders.

Participate in a rotational on‑call schedule to provide engineering‑level support for critical data systems, ensuring production stability and reliability.

Minimum Education & Experience Requirements

Bachelor’s degree or a foreign equivalent in Applied Data Science, Computer Science, or a related field, plus 4 years of post‑baccalaureate experience in job offered or Data Engineering related job titles.

Required Experience (4 years)

• Building and optimizing large-scale, distributed data pipelines with Hive, Presto, Spark, or Flink.
• Data warehousing, including dimensional modeling, star/snowflake schema design, and normalization/denormalization strategies in large-scale data warehouses including Amazon Redshift.
• Writing and optimizing complex SQL queries for large datasets, creating joins, aggregations, and subqueries, in the context of querying data warehouses.
• Data storage solutions, including S3 on AWS.
• Cloud-native services including AWS EMR, AWS S3.
• Using workflow orchestration tools including Airflow in a production environment to automate, schedule, monitor and tune, data pipelines.

Salary range: $183,360 – $205,000