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Modelling Jobs in Missouri (NOW HIRING)

Hydrosat Inc.

Senior Operations Analyst

Saint Louis, MO · On-site

Support departmental modelling and planning, working with department leads to support the build-out and refinement oftheir operating plans * Develop financial and compensation models that hold up to ...

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 · On-site

$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 ...

Weber Inc.

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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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 Sep 11, 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.

Software Engineer, Data Migration

California, MO • On-site

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This job post has expired today. Applications are no longer accepted.

Job description

MongoDB is building a world‑class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real‑time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modelling, code generation, initial data loads, and continuous data synchronization.

We’re looking for a Software Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data‑intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high‑performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting‑edge products that solve complex customer challenges.

This role will be based out of Washington, Oregon, or California.

The ideal candidate for this role will have
  • 2+ years of engineering experience in backend systems, distributed systems, or core platform development
  • Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems‑level programming, memory management, and performance tuning
  • Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
  • Experience with relational data modelling and hands‑on experience with at least one SQL database (Postgres, MySQL, etc.)
  • Exposure to client‑side technologies such as JavaScript and React is a plus
  • Good understanding of algorithms, data structures and their time and space complexity
  • Curiosity, a positive attitude, and a drive to continue learning
  • Excellent verbal and written communication skills
Nice to Have
  • Familiarity with cloud‑native distributed systems (e.g., Kubernetes)
  • Experience with NoSQL databases and understanding of their trade‑offs is great, but not required. We’ll teach you NoSQL
  • Contributions to relevant open‑source projects
Position Expectations
  • Contribute high‑quality, well‑tested backend code to the data migration engine and core components of our generative AI orchestration platform
  • Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
  • Work to develop robust and efficient backend services that orchestrate AI functionalities
  • Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
  • Participate actively in code reviews to enforce best practices and patterns
  • Help troubleshoot and resolve complex technical issues in our distributed systems
  • Give and solicit feedback on technical design documents and pull requests
  • Perform tasks related to process such as CI/CD, quality, testing, etc
Success Measures

Within the first three months, you will have:

  • Familiarise yourself with the MongoDB database and aggregation language
  • Familiarise yourself with the backend tech stack including Java, Spring Boot, and Kafka
  • Set up software development infrastructure (tech stack, build tools, etc.) to enable development using the relevant tech stacks
  • Started collaborating with your peers and contributed to code reviews.

Within six months, you will have:

  • Familiarised yourself with the rest of our application modernization tool stack
  • Delivered at least one large‑scale feature that spans the entire tech stack
  • Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

  • Become a key contributor to our backend stack, capable of taking on complex features independently
  • Helped recruit and interview new members of the team
  • Collaborated effectively with other teams at MongoDB on cross‑functional projects

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 4263333160

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package.

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