Senior Data Engineer I
Required skills
- GenAI
- LLM
- Python
- SQL
- RAG
- agents
- production ownership
- CI/CD
- monitoring
- logging
Nice to have
- Spark
- Flink
- Kafka
- Hive
- lakehouse
- Airflow
Role summary
SHEIN Technology is seeking a Senior Data Engineer I (Intelligent Automation) to apply GenAI/LLM capabilities to data engineering workflows. This role focuses on turning AI prototypes into reliable internal tools to improve engineering productivity, operational efficiency, and data access. The ideal candidate will have hands-on GenAI engineering experience, strong Python/SQL and software fundamentals, and practical production ownership. Responsibilities include building and productionizing GenAI/LLM solutions for data engineering workflows, developing retrieval/RAG and agentic workflows, and integrating AI capabilities into reusable internal services. The role requires a Bachelor's degree in a technical discipline and 3+ years of relevant engineering experience.
About SHEIN
SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, SHEIN remains committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology for a smarter, future-ready industry. Founded in 2012, SHEIN has more than 16,000 employees operating from offices around the world and continues to expand operations globally. Join SHEIN and be the future!
Position Summary
SHEIN Technology is seeking a full-time Senior Data Engineer I (Intelligent Automation) embedded within the Data Engineering team, reporting to Director, Data Engineering. This role applies GenAI/LLM capabilities to real data-engineering workflows, turning prototypes into reliable internal tools that improve engineering productivity, operational efficiency, and data access.
The primary focus is AI automation for Data Engineering—not requiring deep expertise across every data-platform technology on day one. The ideal candidate combines hands-on GenAI engineering, strong Python/SQL and software fundamentals, and practical production ownership.
Job Responsibilities
Job Requirements
Nice to Have
Benefits and Perks
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Pay Range$122,600—$177,900 USDSimilar roles
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