Senior Data Engineer I

Shein • San Diego, CA

3d

About The Position

SHEIN Technology is seeking a full-time Senior Data Engineer I (Intelligent Automation) embedded within the Data Engineering team and reporting to the Director, Data Engineering. The role applies GenAI and LLM capabilities to real data-engineering workflows, turning prototypes into reliable internal tools that improve engineering productivity, operational efficiency, and data access. Its primary focus is AI automation for Data Engineering, rather than requiring deep expertise across every data-platform technology on day one. The ideal candidate combines hands-on GenAI engineering, strong Python and SQL skills, software fundamentals, and practical production ownership.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or an equivalent technical discipline.
• At least 3 years of software, machine learning, data, or platform engineering experience, including hands-on ownership of production systems, services, or developer-facing tools.
• Strong Python and SQL skills and solid software-engineering fundamentals.
• Practical understanding of databases, APIs, data pipelines, and distributed systems.
• Hands-on experience building GenAI/LLM applications using one or more of RAG/retrieval, embeddings, tool/function calling, agents, prompt workflows, or model APIs.
• Experience productionizing services, automation, or data/ML workloads with testing, CI/CD, monitoring, logging, security considerations, and incident troubleshooting.
• Strong ownership and communication skills, ability to translate ambiguous engineering pain points into focused, measurable solutions, and ability to work effectively with geographically distributed teams.

Nice To Haves

• Experience with Spark, Flink, Kafka, Hive/lakehouse systems, Airflow, Kubernetes, or similar large-scale data technologies.
• Experience with metadata/lineage, enterprise search or knowledge systems, developer productivity, data retrieval, observability, or incident/RCA automation.
• Familiarity with cloud-scale data platforms and modern table formats such as Paimon, Iceberg, or Delta Lake.
• Experience driving adoption of internal AI tools or working in high-scale e-commerce or data-platform environments.

Responsibilities

• Build and productionize GenAI/LLM solutions for BDE workflows, including code and SQL assistance, metadata and lineage discovery, data retrieval, and engineering knowledge access.
• Develop retrieval/RAG and agentic workflows connecting engineering documentation, SOPs, databases, metadata, logs, APIs, and internal platforms, with appropriate evaluation, guardrails, and access controls.
• Improve BDE operational efficiency through AI-assisted incident triage, log and alert analysis, root-cause analysis, and repeatable workflow automation.
• Integrate AI capabilities into reusable internal services and developer tools; establish monitoring, feedback loops, quality metrics, and adoption measures to support sustained production use.
• Partner with Data Engineering, AI, SRE, Database, Platform, and global teams to identify high-value use cases and integrate solutions into existing data workflows.
• Own scoped projects independently from problem definition through implementation and production support, and contribute to practical engineering standards and documentation.

Benefits

• Bonus eligible
• Healthcare (medical, dental, vision, prescription drugs)
• Health Savings Account with Employer Funding
• Flexible Spending Accounts (Healthcare and Dependent care)
• Company-Paid Basic Life/AD&D insurance
• Company-Paid Short-Term and Long-Term Disability
• Voluntary Benefit Offerings (Voluntary Life/AD&D, Hospital Indemnity, Critical Illness, and Accident)
• Employee Assistance Program
• Business Travel Accident Insurance
• 401(k) Savings Plan with discretionary company match and access to a financial advisor
• Vacation, paid holidays, floating holiday and sick days
• Employee discounts
• Free weekly catered lunch
• Dog-friendly office (available at select locations)
• Free gym access (available at select locations)
• Free swag giveaways
• Annual Holiday Party
• Invitations to pop-ups and other company events
• Complimentary daily office snacks and beverages

What This Job Offers

• Job Type: Full-time
• Career Level: Senior