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Modelling Jobs in Missouri (NOW HIRING)

$81K - $111K/yr

Solid understanding of data modelling for analytics use cases * Experience with Airflow and containerisation using Docker * Experience with Spark (PySpark) for large-scale data processing * You take ...

Strong quantitative skills - pricing analytics, segmentation, experimentation and customer-economics modelling. * Track record of uplift - demonstrable, measurable commercial uplift through pricing ...

Lead modelling, analytics, and pricing strategy calls for Foodservice pricing team with support from Sr. Pricing Manager. * Own RFX process and coordination with Sales, PLM, and other functions.

Lead modelling, analytics, and pricing strategy calls for Foodservice pricing team with support from Sr. Pricing Manager. * Own RFX process and coordination with Sales, PLM, and other functions.

Strong understanding of data modelling techniques (Kimball, Data Vault) and distributed systems * Familiarity with feature stores, training pipelines, and batch/real-time inference architectures

Sr Electrical R&D Engineer

Hazelwood, MO · On-site

$101K - $132K/yr

Experience with systems/circuit level simulation and modelling with MATLAB / Simulink, etc. preferred. * Electrical Design Margin and stack-up margin analysis preferred. * Prior experience in medical ...

Operate Revit Building Information Modelling and computer-assisted engineering or design software or equipment to perform engineering tasks and facility modeling. * When asked, own and manage site ...

GIS Analyst II

Columbia, MO · On-site

$72K - $80K/yr

Research data sources, edit data, and assemble into datasets, create and utilize networks, datasets, matrices, and programs required for analysis, modelling, planning, and business needs. * Develop ...

Sr Electrical R&D Engineer

Hazelwood, MO · On-site

$101K - $132K/yr

Experience with systems/circuit level simulation and modelling with MATLAB / Simulink, etc. preferred. * Electrical Design Margin and stack-up margin analysis preferred. * Prior experience in medical ...

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Showing results 1-20

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.
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.
Senior Hadoop Developer

Other

Posted 19 days ago


Job description

Senior Hadoop Developer to develop, create, and modify general computer applications software or specialized utility programs.
Job responsibilities and duties include:
  • Implement data analytics processing algorithms on Big Data batch and stream processing frameworks (e.g. Hadoop MapReduce, Python, Spark, Scala, Kafka etc.).
  • Perform data acquisition, preparation, and perform analysis leveraging a variety of data programming techniques in Spark using Scala.
  • Work on complex issues where analysis of situations and data requires an in-depth evaluation of variable factors.
  • Load data from different datasets and decide on which file format is efficient for a task. Hadoop Developers source large volumes of data from diverse data platforms into Hadoop platform.
  • Install, configure, and maintain enterprise Hadoop environment.
  • Build distributed, reliable, and scalable data pipelines to ingest and process data in real-time. Hadoop Developers deals with fetching impression streams, transaction behaviors, clickstream data, and other unstructured data.
  • Define Hadoop Job Flows and manage Hadoop jobs using Scheduler.
  • Review and manage Hadoop log files.
  • Design and implement column family schemas of Hive and HBase within HDFS
  • Assign schemas and create Hive tables with suitable formats and compression techniques.
  • Mentor Big Data Developers on best practices and strategic development.
  • Develop efficient Pig and Hive scripts with joins on datasets using various techniques.
  • Apply different HDFS formats and structure like Parquet, Avro, etc. to speed up analytics.
  • Fine tune Hadoop applications for high performance and throughput.
  • Troubleshoot and debug any Hadoop ecosystem run time issues.
  • Develop and document technical design specifications.
  • Design and develop data integration solutions (batch and real-time) to support enterprise data platforms including Hadoop, RDBMS, and NoSQL.
  • Lead technical meetings, as required, and convey ideas clearly and tailor communication based on selected audience (technical and non-technical).
  • Implement Spark Streaming architecture and integration with JMS queue with custom receivers.
  • Develop and deploy API services in Java Spring.
  • Create Hive and HBase data source connection to Spring.
  • Implement multi-threading in Java/Scala.

This position has no direct reports and does not supervise any other personnel.
Minimum requirements:
Bachelor's degree in Computer Science, Applied Computer Science, Engineering, or any related field of study, plus at least two (2) years of experience in the job offered or in any related position(s).
Qualified applicants must also have demonstrable proficiency, skill, experience, and knowledge with the following:
1.Hadoop/Big Data Ecosystem and Architecture
2.Hive, Spark, HBase, Sqoop, Impala, Kafka, Flume, Oozie, and MapReduce
3.Programming experience in Java, Scala, Python, and Shell Scripting
4.SQL and Data modelling
Work from home benefit offered.