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Modelling Jobs in Missouri (NOW HIRING)

Stellar IT Group

Application Data Modeler

Saint Louis, MO · On-site

$53.25 - $69/hr

This role requires strong expertise in database design, data modelling, and governance, with hands-on experience across multiple relational database platforms. The ideal candidate will bridge ...

One Tech

Senior Electrical Engineer

Saint Louis, MO

$104K - $136K/yr

Prior experience in commonly utilized system modelling software programs (ASPEN, CAPE, CYME, ETAP, SKM, etc.) Knowledge of protection schemes and philosophies commonly applied at Transmission and ...

Diligent Corporation

Solid understanding of relational databases (MySQL or MariaDB), including data modelling and query optimisation. * Experience designing and building RESTful APIs and working on system integrations.

Weber Food Technology

Design Engineer

Kansas City, MO · On-site

Proficiency in 2D CAD and 3D modelling software (SolidWorks preferred) * Proficiency in detailing manufacturing drawings including the application of GD&T. * Knowledge of Food Slicing and Automation ...

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Showing results 21-40

All JobsModelling JobsModelling Jobs in Missouri

Modelling information

See Missouri salary details

$45

$69

$88

How much do modelling jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for modelling in Missouri is $69.13, according to ZipRecruiter salary data. Most workers in this role earn between $63.12 and $79.13 per hour, depending on experience, location, and employer.

What is modelling?

Modelling is a profession where individuals, known as models, pose or display products, clothing, or accessories for advertising, promotional, or artistic purposes. Models work in a variety of settings, including fashion shows, print advertisements, commercials, and digital media. The field includes different types of modelling such as fashion, commercial, fitness, and runway modelling, each with its own requirements and expectations. Models collaborate with photographers, designers, and brands to help visually communicate ideas or sell products. Success in modelling often requires a combination of physical attributes, professionalism, and the ability to express emotions or concepts through poses and expressions.

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

To thrive as a Model, you need physical fitness, a strong portfolio, and an understanding of the fashion or commercial industry, often supported by agency representation or professional training. Familiarity with photo shoot protocols, posing techniques, and sometimes digital tools for virtual castings or portfolio management is important. Confidence, adaptability, and strong interpersonal skills help models build relationships and respond professionally to direction. These skills and qualities are crucial for consistently delivering the desired image, maintaining professionalism, and succeeding in a competitive industry.

What are some of the common challenges faced by professional models, and how can they prepare for them?

Professional models often encounter challenges such as maintaining a healthy work-life balance, dealing with irregular schedules, and adapting to varying client expectations. Additionally, models may work in fast-paced environments where adaptability and resilience are key. To prepare, it's helpful to develop strong time management skills, maintain a supportive network, and stay proactive in personal health and self-care. Building good relationships with agencies and consistently updating one's portfolio also contribute to ongoing career success.

What is the difference between Modelling vs Data Analysis?

AspectModellingData Analysis
Required credentialsStatistics, mathematics, or related degrees; often certifications in modelling techniquesStatistics, data science, or related degrees; certifications in data analysis tools
Work environmentFinancial, engineering, or scientific sectors; focus on creating predictive modelsBusiness, marketing, or research sectors; focus on interpreting data sets
Employer usageFinancial institutions, engineering firms, scientific researchCorporations, marketing agencies, research organizations
Common search intentUnderstanding predictive modelling techniques and careersInterpreting data insights and reporting

Modelling involves creating mathematical or statistical models to predict future outcomes, often requiring advanced quantitative skills. Data analysis focuses on examining data sets to extract meaningful insights, emphasizing interpretation and reporting. While both roles require analytical skills, modelling is more predictive and technical, whereas data analysis is more descriptive and interpretive.

Do beginner models get paid?

Beginner models can get paid, but the amount varies depending on the type of modeling, the market, and the agency. Some beginner models work for free or for portfolio development, while others earn hourly or project-based fees once they gain experience and build a portfolio. Payment terms are typically outlined in contracts or agency agreements.

How can you get into modeling?

To get into modeling, individuals typically build a portfolio of professional photos, gain experience through local or online agencies, and attend open casting calls or auditions. Having a good appearance, confidence, and understanding of industry standards can improve chances of success.
Modelling jobs near you
Infographic showing various Modelling job openings in Missouri as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 79% Physical, 11% Hybrid, and 10% Remote job distribution, with an average salary of $143,786 per year, or $69.1 per hour.

Application Data Modeler

Stellar IT Group

Saint Louis, MO • On-site

$53.25 - $69/hr

Contractor

Re-posted 19 days ago

Job description

Overview:
Job Title: Application Data Modeler
Duration: Contract-to-Hire (CTH)
Location: Remote
Role Overview
We are seeking an Application Data Modeler to design and optimize data structures supporting interactive software applications and online transaction processing (OLTP) systems. This role requires strong expertise in database design, data modelling, and governance, with hands-on experience across multiple relational database platforms. The ideal candidate will bridge technical design with business needs, ensuring scalable, compliant, and well-documented data solutions.
Key Responsibilities
  • Design and maintain conceptual, logical, and physical data models for OLTP systems.
  • Develop and optimize relational database schemas with proper normalization (up to 3NF).
  • Collaborate with application teams to ensure models align with interactive software requirements.
  • Implement and enforce data governance standards across platforms.
  • Utilize data catalog tools (Alation, Collibra, or comparable) to manage metadata and ensure data accessibility.
  • Generate and validate SQL scripts from modeling tools to support schema creation and updates.
  • Partner with cross-functional teams to ensure consistency, compliance, and scalability of data solutions.

Top Requirements (Must-Haves)
Technical Skills
  • Interactive software applications and OLTP systems experience.
  • Database design and data modeling (conceptual, logical, physical).
  • Relational databases: PostgreSQL (primary), with exposure to MySQL and Oracle for cross-platform understanding.
  • Normalization (3NF) and schema optimization.
  • SQL scripting: Strong understanding of SQL dialects; not required to be a PostgreSQL expert but must grasp differences across platforms.
  • Modeling tools: Proficiency with DB Schema (preferred), Irwin, ER Studio, or cloud-based modeling solutions.

Data Governance & Catalogs
  • Experience with metadata management and data catalog platforms.
  • Hands-on with Alation (preferred) or comparable tools such as Collibra.
  • Strong grasp of data catalog principles beyond tool usage.

Preferred Attributes
  • Strong analytical and problem-solving skills.
  • Ability to translate complex technical requirements into clear, actionable designs.
  • Excellent communication skills for cross-functional collaboration.
  • Detail-oriented with a focus on compliance and governance.

Skills:
Data Modeler,OLTP,Interactive software applications,3NF,DATA GOVERNANCE

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