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Modelling Jobs in Missouri (NOW HIRING)

Jobgether

$88K - $106K/yr

You will be responsible for transforming a newly centralized data lake into a robust, analytics-ready foundation that supports downstream data science and risk modelling use cases. Working within a ...

De Lage Landen International B.V.

$48.50 - $64/hr

You ensure that the baseline architecture in the enterprise repository meet the DLL ArchiMate modelling standards and is always up-to-date. * Trends Monitoring: You keep track of emerging technology ...

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 ...

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 and application of hygienic ...

FUGA

$94K - $124K/yr

Strong SQL skills and data modelling fundamentals * Experience building and integrating APIs * Familiarity with cloud platforms (GCP preferred) * Experience with messaging systems (Redis Streams ...

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.

Hasbro

$66K - $82K/yr

Strong Excel and financial modelling capabilities; SAP or Power BI a plus. * Strong business acumen and communication skills-you know how to influence non-finance partners. * A desire to grow into a ...

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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 Jul 1, 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 are the key skills and qualifications needed to thrive as a Model, and why are they important?

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.

How to be a face model?

To become a face model, you should maintain clear, healthy skin and a versatile look that suits various brands. Building a professional portfolio with high-quality photos, networking with agencies, and attending castings or open calls are essential steps in establishing a modeling career focused on facial features.

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.

Is 25 too late to model?

Modeling is a career that can be pursued at any age, including at 25. Success often depends on factors such as look, confidence, and professionalism, rather than age alone. Many models start in their mid-20s or later and build successful careers with the right portfolio and networking.

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 understanding of industry standards, maintaining a healthy appearance, and developing relevant skills like posing and runway walking can improve chances of success.

How much money do models make?

Modeling salaries vary widely based on experience, type of modeling, and market demand. Top fashion models can earn millions annually, while beginner or freelance models may earn a few hundred dollars per day or per assignment. Income often depends on factors such as portfolio quality, agency representation, and the number of bookings.

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.
Modelling jobs near you
Infographic showing various Modelling job openings in Missouri as of June 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 82% Physical, 9% Hybrid, and 9% Remote job distribution, with an average salary of $143,786 per year, or $69.1 per hour.

Data Engineer

Jobgether

Remote

$88K - $106K/yr

Full-time

Posted 6 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer based in Netherlands.

This role focuses on rebuilding trust in a complex, regulated data environment where existing pipelines are not yet reliable, reproducible, or fully validated. You will be responsible for transforming a newly centralized data lake into a robust, analytics-ready foundation that supports downstream data science and risk modelling use cases. Working within a regulated credit and lending context, you will design and enforce strong data quality, lineage, and governance standards across multiple source systems. The role requires deep hands-on engineering across AWS, Spark, and modern data tooling, with a strong emphasis on correctness, auditability, and reproducibility. You will collaborate closely with data science and engineering stakeholders to define harmonized data models and prepare feature-ready datasets. This is a high-impact foundational role where your work directly enables reliable decision-making in a financial risk environment.

Accountabilities:
  • Rebuild and validate data pipelines to ensure full reproducibility of reporting and descriptive statistics across all datasets
  • Profile, reconcile, and harmonize heterogeneous source schemas across multiple business entities into a unified data model
  • Design and implement dbt-based data models (staging, intermediate, and marts) with strong testing and validation layers
  • Develop and maintain data quality frameworks using tools such as Great Expectations and dbt tests to enforce reliability
  • Build and implement entity resolution and record linkage logic across fragmented customer and account datasets
  • Ensure robust anonymization and pseudonymization processes that meet regulatory and compliance requirements
  • Optimize large-scale Spark-based processing jobs, including partitioning strategies, file formats, and cost-efficient compute usage
  • Orchestrate production-grade pipelines using tools such as Airflow or AWS Step Functions
  • Deliver clean, documented, and feature-ready datasets for downstream data science and risk modelling teams
  • Create clear technical documentation and runbooks to support operational handover and long-term maintainability
Requirements:
  • 4+ years of professional experience in data engineering with strong exposure to large-scale AWS and Spark environments
  • Advanced proficiency in SQL and Python for data processing and transformation at scale
  • Strong experience with AWS data services including S3, Glue, Athena, Redshift, EMR, and orchestration tools
  • Proven experience building and maintaining data models using dbt or similar frameworks
  • Hands-on experience with data quality, validation, and testing frameworks such as Great Expectations
  • Strong understanding of data governance, lineage, and reproducibility in production environments
  • Experience with entity resolution, deduplication, or record linkage across multiple data sources
  • Familiarity with anonymization and pseudonymization techniques in regulated environments
  • Experience working in regulated industries such as BFSI, healthcare, or government is highly valued
  • Ability to work independently or as a lead engineer within a small, fast-moving delivery team
  • Strong written and verbal communication skills in English, with the ability to document and explain complex systems clearly
Benefits:
  • Competitive compensation package aligned with experience and impact
  • Remote-friendly working arrangements within Europe
  • Opportunity to work on a high-impact, regulated data transformation project
  • Exposure to modern AWS data architecture and large-scale Spark processing environments
  • Direct collaboration with data science and engineering leadership on meaningful analytics use cases
  • Strong autonomy in shaping data foundations and engineering standards
  • Opportunity to build robust, production-grade systems from an early-stage data estate
  • International, collaborative environment with distributed teams
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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