hirly

Shein

Senior Data Engineer I

San Diego

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Shein first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included
Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family
Data & ML
Seniority
Senior
Stated salary
$122,600 – $177,900 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
19 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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

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.

Job 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.

Nice to Have

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.

Benefits and Perks

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

#LI-ED1

Pay Range

$122,600 — $177,900 USD

Original posting on Shein's site ↗

Listed on hirly, a job board. hirly is not the employer: Shein is hiring for this role.

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job