1

Shein Model Jobs in California (NOW HIRING)

... SHEIN and many more - with fully integrated solutions to manage everything from business accounts ... Data Modeling Strategy * Set the technical direction for data modeling across the team, ensuring ...

... SHEIN and many more - with fully integrated solutions to manage everything from business accounts ... Build scalable product frameworks, decision principles, and operating models that enable Airwallex ...

Senior Data Engineer

San Francisco, CA · On-site

$160K - $260K/yr

... SHEIN and many more - with fully integrated solutions to manage everything from business accounts ... San Francisco Part 1. Data Modeling * Design and implement robust and scalable data models that ...

... SHEIN and many more - with fully integrated solutions to manage everything from business accounts ... models. Our backend is primarily Python on GCP, and your work will ensure we can move quickly while ...

Senior Data Engineer

San Francisco, CA · On-site

$140 - $190/hr

... SHEIN and many more - with fully integrated solutions to manage everything from business accounts ... San Francisco Part 1. Data Modeling * Design and implement robust and scalable data models that ...

... SHEIN and many more - with fully integrated solutions to manage everything from business accounts ... Build scalable product frameworks, decision principles, and operating models that enable Airwallex ...

Staff AI Engineer

San Francisco, CA · On-site

$180 - $260/hr

... SHEIN and many more - with fully integrated solutions to manage everything from business accounts ... You'll leverage agentic frameworks, orchestration layers, and pragmatic model selection to turn ...

Showing results 21-40

Shein Model information

See California salary details

$10

$30

$66

How much do shein model jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for shein model in California is $30.96, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $38.65 per hour, depending on experience, location, and employer.

What is a Shein model?

A Shein model is a person hired or contracted by the fashion retailer Shein to showcase its clothing, accessories, and products in online photoshoots, videos, and promotional materials. Shein models help present the company’s apparel on the official website, social media platforms, and marketing campaigns, giving customers a better idea of how the products look on real people. These models can be professionals or influencers and often come from diverse backgrounds to reflect the brand’s wide-ranging audience. Becoming a Shein model may involve applying through casting calls, social media collaborations, or talent agencies.

What are the key skills and qualifications needed to thrive as a Shein model?

To thrive as a Shein Model, you need a strong presence in front of the camera, knowledge of current fashion trends, and the ability to follow creative direction, often supported by previous modeling experience or a professional portfolio. Familiarity with posing techniques, digital submission platforms, and sometimes experience with virtual castings or photo editing tools are typically required. Confidence, adaptability, and professionalism are vital soft skills for working with creative teams and embodying different styles. These skills ensure that models can effectively showcase clothing, maintain brand image, and contribute to successful marketing campaigns.

What is a typical day like for a Shein model during a photo shoot?

A typical day for a Shein Model during a photo shoot involves arriving early at the studio, undergoing hair and makeup styling, and collaborating closely with photographers, stylists, and creative directors. Models often change into multiple outfits throughout the day and must be prepared to pose in a variety of ways to best showcase the clothing. The day can be fast-paced, requiring adaptability and stamina, as well as strong communication skills to interpret creative direction. Teamwork is essential, as models work with a diverse crew to meet tight deadlines and achieve the desired brand image.

What is the difference between Shein Model vs Influencer?

AspectShein ModelInfluencer
Required CredentialsMinimal; often includes social media presenceVaries; often includes large social media following
Work EnvironmentPhoto shoots, online campaignsSocial media platforms, events
Employer & Industry UsageFashion retail brands, e-commerceBrands, marketing agencies, personal brands
Search & Comparison IntentUnderstanding modeling roles for fast fashionComparing social media influence and brand collaborations

The Shein Model typically involves participating in photoshoots and campaigns for the fast fashion retailer Shein, often requiring minimal formal credentials. Influencers, on the other hand, leverage their social media presence to promote brands, including fashion items, and may have a broader range of credentials. Both roles operate within the fashion and e-commerce industry but differ mainly in work environment and employer type.

Can I work from home for Shein Model?

Shein Model roles typically require in-person participation for photoshoots and fittings, making remote work unlikely. However, some tasks like content editing or social media management may be performed remotely if specified by the employer. It is best to check the specific job listing for remote work options and requirements.

Do Shein models get paid?

Shein models are typically paid for their work, especially if they are hired as professional influencers or content creators. Payment can vary based on the scope of the project, experience, and whether the model is part of a formal campaign or collaboration. Many models also receive free products or compensation in exchange for promotional content.

Does Shein Model hire models?

Shein Model is a program that hires individuals to showcase Shein's clothing and accessories, often through social media or photoshoots. Applicants typically need to meet certain criteria such as age, appearance, and social media presence, and may be required to sign contracts or agreements. The hiring process varies and may involve submitting photos or applications online.

How do I become a Shein Model?

To become a Shein model, you typically need to submit an application through their official modeling or influencer program, which may involve providing photos, measurements, and social media profiles. Having a strong online presence, good photography skills, and a professional portfolio can improve your chances. The process often includes an audition or selection based on appearance and audience engagement.

What job categories do people searching Shein Model jobs in California look for?

The top searched job categories for Shein Model jobs in California are:

Infographic showing various Shein Model job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $64,391 per year, or $31 per hour.

Manager, Data Engineering

Airwallex

San Francisco, CA • On-site

$200K - $335K/yr

Full-time

Re-posted 13 days ago


Job description

About Airwallex
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000 businesses worldwide - including Brex, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us.
Attributes We Value
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You're humble and collaborative; turn zero‑to‑one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next.
About the team
The Data & AI org is at the heart of our company's data and AI strategy. We are building the foundational infrastructure that empowers the entire company to leverage data, AI, and ML into business impact. We accomplish this by creating platforms that handle the entire data and AI/ML lifecycle, simplifying the interface while providing proper safety and governance. This includes managing our data infrastructure (Databricks, Spark, Kafka, etc.), the technology to serve that data to our users (RAG, MCP, etc.), and the platform to host and govern these AI/ML models.
In 2026, our team's overarching mission is to evolve our full data ecosystem-encompassing both platform and models-into a fully AI agent-ready infrastructure; we will empower customers to engage directly with the data platform to extract actionable value through capabilities like analytics and natural language querying, while also upgrading the platform to deliver robust, real-time performance for instant, data-driven decision-making.
What you'll do
We're looking for a Data Engineering Manager to lead a team within our Strategic Data Org and help scale the data foundations that power Airwallex's products, analytics, and operational decision-making. In this role, you will lead engineers working on data modeling, pipelines, and analytics-ready datasets across domains such as regulatory reporting, data content foundation, customer and business data, and growth data. You'll partner closely with engineering leaders, product and business stakeholders, and adjacent platform teams to turn ambiguous business needs into reliable, well-structured data solutions.
This is a hybrid role based in San Francisco.
Team Leadership & People Management
  • Hire, coach, and grow a team of data engineers, setting clear expectations and providing regular feedback and career development support.
  • Establish team rituals, priorities, and ways of working that balance delivery speed with engineering rigor.
  • Act as a technical mentor, reviewing designs and code where needed, and helping engineers grow their skills in data modeling, pipeline engineering, and governance.
  • Manage performance, workload, and hiring plans in line with business needs.
  • Drive AI strategy and AI automation for the team.

Data Modeling Strategy
  • Set the technical direction for data modeling across the team, ensuring the org selects appropriate schema designs (e.g., star schema, snowflake, normalized vs. denormalized) based on business use cases.
  • Champion the concept of Single Source of Truth (SSOT) across data layers and pipelines, and hold the team accountable to it.
  • Ensure your team collaborates effectively with business stakeholders to translate data needs into clean, structured, well-documented models.
  • Oversee data consistency, traceability, and quality standards across multiple data sources and domains.

ETL & Data Pipeline Oversight
  • Guide the team's approach to building and maintaining batch and streaming ETL pipelines, from ingestion through transformation and delivery.
  • Ensure strong collaboration between your team, Data Platform Engineers (DPEs), and Product Managers (PMs) to drive quick root-cause resolution of data issues and durable, scalable fixes.
  • Bring judgment to challenges around distributed or multi-datacenter systems, including data migration, duplication, and consistency, and help the team navigate them.

Data Governance
  • Own and evolve data governance strategy, policies, and standards for the team's domains.
  • Ensure the team's practices reflect the key pillars of data governance (data quality, data stewardship, metadata management, master data management, data privacy/security, data lifecycle).
  • Represent the data engineering team in cross-functional governance conversations and decisions.

Data + AI
  • Drive thinking on how data engineering and AI can work together in practical, high-impact ways, and help the team build the foundations that make that possible.

These areas - data modeling, ETL/pipelines, governance, and data + AI - are the core focuses of the DE team. You should have strong, credible expertise in at least one (ideally data modeling or ETL) with working knowledge across the others.
Who You Are
Minimum Qualifications:
  • Bachelor's degree or higher in Computer Science, Information Systems, Finance, Mathematics, or a related field.
  • 8+ years of experience designing and implementing ETL pipelines using tools such as Informatica, Talend, Apache NiFi, or similar data integration platforms, including significant hands-on technical depth.
  • 2+ years of experience directly managing or leading data engineers, including hiring, coaching, and performance management.
  • Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions.
  • Familiarity with Google Cloud Platform (GCP), specifically BigQuery and Airflow.
  • Demonstrated ability to set technical direction and drive alignment across engineering and business stakeholders.
  • Excellent problem-solving skills, with a keen attention to detail and a commitment to producing high-quality work.
  • Strong communication and collaboration skills, with the ability to lead effectively in a fast-paced, team-oriented environment and work with globally distributed teams.

Preferred Qualifications:
  • Experience with financial industries, payment systems, or fintech platforms.
  • Knowledge of data governance practices and regulatory requirements in the financial industry.
  • Experience with scripting languages (e.g., Python, R) for data analysis and automation.
  • Certification in data management or related technologies.
  • Prior experience scaling a data engineering team through periods of significant company growth.
Applicant Safety Policy: Fraud and Third-Party Recruiters
To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.
Equal opportunity
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.