{"id":834263,"url":"https://alion.io/job/shein-senior-data-engineer","title":"Senior Data Engineer","company":{"id":175313,"name":"Shein","domain":"shein.com","url":"https://alion.io/company/shein-3","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Diego, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":122600,"max":177900,"currency":"USD","period":"year","gross":null,"usd_annual":177900},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Delta Lake","optional":true},{"name":"Flink","optional":true},{"name":"Kubernetes","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-19T22:45:17Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-10-06T20:41:58Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"About SHEIN \nSHEIN 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!\nPosition Summary \nSHEIN 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.\nThe 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.\n Job Responsibilities \n Build and productionize GenAI/LLM solutions for BDE workflows, including code/SQL assistance, metadata and lineage discovery, data retrieval, and engineering knowledge access.\nDevelop retrieval/RAG and agentic workflows that connect engineering documentation, SOPs, databases, metadata, logs, APIs, and internal platforms using appropriate evaluation, guardrails, and access controls.\nImprove BDE operational efficiency through AI-assisted incident triage, log/alert analysis, root-cause analysis, and repeatable workflow automation.\nIntegrate 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.\nPartner with Data Engineering, AI, SRE, Database, Platform, and global teams to identify high-value use cases and integrate solutions into existing data workflows.\nOwn scoped projects independently from problem definition through implementation and production support, and contribute to practical engineering standards and documentation.\n Job Requirements \nBachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent technical discipline.\n3+ years of software, machine learning, data, or platform engineering experience, including hands-on ownership of production systems, services, or developer-facing tools.\nStrong Python and SQL skills, solid software-engineering fundamentals, and practical understanding of databases, APIs, data pipelines, and distributed systems.\nHands-on experience building GenAI/LLM applications using one or more of RAG/retrieval, embeddings, tool/function calling, agents, prompt workflows, or model APIs.\nExperience productionizing services, automation, or data/ML workloads with testing, CI/CD, monitoring, logging, security considerations, and incident troubleshooting.\nStrong ownership and communication skills, with the ability to translate ambiguous engineering pain points into focused, measurable solutions and work effectively with geographically distributed teams.\nNice to Have\n\nExperience with Spark, Flink, Kafka, Hive/lakehouse systems, Airflow, Kubernetes, or similar large-scale data technologies.\nExperience with metadata/lineage, enterprise search or knowledge systems, developer productivity, data retrieval, observability, or incident/RCA automation.\nFamiliarity with cloud-scale data platforms and modern table formats such as Paimon, Iceberg, or Delta Lake.\nExperience driving adoption of internal AI tools or working in high-scale e-commerce or data-platform environments.\nBenefits and Perks \nBonus eligible\nHealthcare (medical, dental, vision, prescription drugs) \nHealth Savings Account with Employer Funding \nFlexible Spending Accounts (Healthcare and Dependent care) \nCompany-Paid Basic Life/AD&D insurance \nCompany-Paid Short-Term and Long-Term Disability \nVoluntary Benefit Offerings (Voluntary Life/AD&D, Hospital Indemnity, Critical Illness, and Accident) \nEmployee Assistance Program \nBusiness Travel Accident Insurance \n401(k) Savings Plan with discretionary company match and access to a financial advisor \nVacation, paid holidays, floating holiday and sick days \nEmployee discounts \nFree weekly catered lunch \nDog-friendly office (available at select locations) \nFree gym access (available at select locations) \nFree swag giveaways \nAnnual Holiday Party \nInvitations to pop-ups and other company events \nComplimentary daily office snacks and beverages\nPay Range\n$122,600—$177,900 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