SHEIN - Senior Data Engineer I
Requirements
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent technical discipline. • 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, solid software-engineering fundamentals, and 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, with the ability to translate ambiguous engineering pain points into focused, measurable solutions and work effectively with geographically distributed teams. • 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/SQL assistance, metadata and lineage discovery, data retrieval, and engineering knowledge access. • Develop retrieval/RAG and agentic workflows that connect engineering documentation, SOPs, databases, metadata, logs, APIs, and internal platforms using appropriate evaluation, guardrails, and access controls. • Improve BDE operational efficiency through AI-assisted incident triage, log/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 move solutions from prototype to 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
• 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 • $122,600 - $177,900 USD
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