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Senior Data Engineer I

Reads like a ML Engineer role: putting models into production.

Pay
USD 122,600–177,900/yearAnnual period assumed — pay source
Pay Range $122,600—$177,900 USD
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

SHEIN Technology is seeking a full-time Senior Data Engineer I (Intelligent Automation) embedded within the Data Engineering team, reporting to Director, Data Engineering.

The primary focus is AI automation for Data Engineering—not requiring deep expertise across every data-platform technology on day one.

  • Build and productionize GenAI/LLM solutions for data engineering workflows

  • Develop RAG and agentic workflows over docs, databases, logs and APIs

  • Improve operational efficiency through AI-assisted incident triage and root-cause analysis

  • Integrate AI into reusable internal services with monitoring and adoption metrics

  • Own scoped projects from problem definition through production support

From the employer’s posting
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.
Build and productionize GenAI/LLM solutions for BDE workflows
Develop retrieval/RAG and agentic workflows that connect engineering documentation, SOPs, databases, metadata, logs, APIs, and internal platforms
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
Own scoped projects independently from problem definition through implementation and production support
Education & alternatives
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.

Benefits in the posting

Full benefits wording
  • 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
  • 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
  • Free swag giveaways
  • Annual Holiday Party
  • Invitations to pop-ups and other company events
  • Complimentary daily office snacks and beverages
  • Pay Range

From the employer’s 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.

In the employer’s words · Read in context

Apply at SHEIN

Posting record

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Status in our records
Live
First seen by us
Oct 20, 202615 days ago
Recorded sightings
17
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$123K–$178K against $166K–$240K, the middle half of what similar US postings state.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 15

Similar jobs usually come down between day 6 and day 69.

From 4,339 similar postings that came down. Coming down is not always a hire.

SHEIN is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Delta Lake
  • Hive
  • Kafka
  • Kubernetes
  • Spark
  • Airflow
Where the posting names them
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
- 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.
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.
- 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.
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.

Your next step

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original 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
Source details

View original posting ↗

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Pay
Pay Range $122,600—$177,900 USD
Location & working pattern

San Diego

Working pattern and location restrictions need checking in the full posting.

Work authorization

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