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Modelling Jobs in Tennessee (NOW HIRING)

Bechtel

Sr S3D SRD Engineer

Knoxville, TN · On-site

$95K - $130K/yr

Ability to extract SRD piping data for 3D modelling, generate required validation reports, and configure validation requirements for SRD to 3D modeling systems (S3D, E3D). * Having adequate ...

Bechtel

Sr S3D SRD Engineer

Knoxville, TN · On-site

$86K - $117K/yr

Ability to extract SRD piping data for 3D modelling, generate required validation reports, and configure validation requirements for SRD to 3D modeling systems (S3D, E3D). * Having adequate ...

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All JobsModelling JobsModelling Jobs in Tennessee

Modelling information

See Tennessee salary details

$44

$66

$85

How much do modelling jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for modelling in Tennessee is $66.89, according to ZipRecruiter salary data. Most workers in this role earn between $61.11 and $76.59 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.

What are the most commonly searched types of Modelling jobs in Tennessee?

The most popular types of Modelling jobs in Tennessee are:

What cities in Tennessee are hiring for Modelling jobs?

Cities in Tennessee with the most Modelling job openings:

Modelling jobs near you
Infographic showing various Modelling job openings in Tennessee as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 80% Physical, 11% Hybrid, and 9% Remote job distribution, with an average salary of $139,128 per year, or $66.9 per hour.

Principal Data Modeler with GCP

Kanak Elite Services Inc

Nashville, TN • On-site

$53 - $68.50/hr

Contractor

Re-posted 15 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Principal Data Modeler with GCP with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : Principal Data Modeler with GCP

Location          : Nashville, TN Onsite

Duration         : 12+ months contract

Job Summary:

We are seeking a highly experienced Principal Data Modeler to lead our enterprise data modelling efforts and define the blueprint for how data is structured, integrated, and governed across the organization. You will collaborate with data architects, engineers, analysts, and business stakeholders to design scalable, high-performance data models that support both operational and analytical workloads.

Key Responsibilities:

  • Lead Data Modelling Strategy: Define and drive the enterprise data modelling standards, guidelines, and best practices (conceptual, logical, and physical models).
  • Model Development: Design and maintain enterprise-wide data models, ensuring consistency, reuse, and adherence to data governance policies.
  • Collaboration: Work closely with data architects, DBAs, data engineers, BI teams, and business analysts to ensure models align with business needs and technical environments.
  • Data Integration & Warehousing: Contribute to the design of data lakes, data warehouses, and real-time data pipelines by modelling schemas for structured and semi-structured data.
  • Tool & Technology Expertise: Use industry-standard modelling tools (e.g., ER/Studio, ERwin, SQL Developer Data Modeler) and maintain model repositories and versioning.
  • Metadata & Lineage: Ensure data models are well-documented and integrated into metadata management and data lineage tools.
  • Data Quality & Governance: Support data quality initiatives by ensuring models align with data governance frameworks, including master data management and reference data standards.
  • Mentoring: Provide thought leadership and mentor junior data modellers and data engineers.

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
  • 10+ years of experience in data modelling and data architecture, preferably in large-scale enterprise environments.
  • Deep understanding of relational, dimensional, and NoSQL data modelling.
  • Strong knowledge of database technologies (e.g., Oracle, SQL Server, PostgreSQL, Snowflake, Redshift).
  • Experience with cloud platforms (AWS, Azure, GCP) and modern data stack tools.
  • Familiarity with data governance, metadata management, and data lineage concepts.
  • Exceptional analytical, problem-solving, and communication skills.
  • Proven ability to work cross-functionally with both technical and non-technical teams.