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Entry Level Data Modeler Jobs (NOW HIRING)

Responsibilities Peraton is seeking an Entry-level Data Science Associate in our Herndon, VA ... Understanding of large-language models or running open-source hugging face model Peraton Overview ...

... - Entry Level Pro FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per ... Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and ...

... - Entry Level Pro FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per ... Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and ...

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

... - Entry Level Pro FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per ... Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and ...

... - Entry Level Pro FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per ... Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and ...

Skill Level * Entry Level drafter/CAD operator and modeler * Requires minimal training on software ... data, or developing strategies. The role demands effective communication and sharp visual acuity ...

Data Architect(33397)

Phoenix, AZ

$63.25 - $81.50/hr

Responsibilities will also include metadata management, business semantics, data modeling, and ... entry level to senior leadership Ability to manage multiple projects at the same time and shift ...

Skill Level * Entry Level drafter/CAD operator and modeler * Requires minimal training on software ... data, or developing strategies. The role demands effective communication and sharp visual acuity ...

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Entry Level Data Modeler information

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How much do entry level data modeler jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for entry level data modeler in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What is an entry level data modeler?

Entry Level Data Modelers are professionals who help design, create, and maintain data models for organizations, typically at the start of their careers. They work with senior data modelers or data architects to organize data structures, ensuring data is stored, accessed, and managed efficiently. Their tasks may include building entity-relationship diagrams, documenting data flows, and supporting database development. Entry level data modelers often work with teams in IT, analytics, or business intelligence, and use tools such as SQL and data modeling software. They play a crucial role in ensuring data integrity and supporting business operations through effective data management.

What are the key skills and qualifications needed to thrive as an entry level data modeler?

To thrive as an Entry Level Data Modeler, you typically need a solid understanding of database concepts, data modeling principles, and a relevant degree in computer science or information systems. Familiarity with data modeling tools like ERwin, SQL databases, and basic knowledge of data warehousing systems is commonly expected. Strong analytical skills, attention to detail, and effective communication help you translate business needs into accurate data models. These competencies ensure data structures are efficient, scalable, and aligned with organizational objectives, supporting successful project outcomes.

What are some common challenges faced by entry level data modelers, and how can they overcome them?

Entry level data modelers often encounter challenges such as understanding complex data sources, translating business requirements into efficient data structures, and learning new modeling tools or methodologies. To overcome these, it's helpful to seek mentorship from experienced team members, actively participate in project meetings to clarify requirements, and invest time in hands-on practice with data modeling software. Collaborating closely with database administrators, analysts, and developers also enhances understanding of practical data flows and integration points.

What is the difference between Entry Level Data Modeler vs Data Analyst?

AspectEntry Level Data ModelerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; basic understanding of data modeling toolsBachelor's in Statistics, Math, or related; proficiency in data analysis software
Work EnvironmentData modeling teams, database development projectsBusiness intelligence teams, reporting, and data interpretation
Employer & Industry UsageTech companies, finance, healthcare, where data structure design is neededMarketing, finance, healthcare, focusing on data insights and reporting

While both roles involve working with data, an Entry Level Data Modeler primarily focuses on designing and creating data structures and models, whereas a Data Analyst interprets data to generate insights. The roles often overlap in industries like tech and finance, but their core responsibilities differ: modeling vs. analysis.

More about Entry Level Data Modeler jobs

What cities are hiring for Entry Level Data Modeler jobs?

Cities with the most Entry Level Data Modeler job openings:

What are the most commonly searched types of Data Modeler jobs?

The most popular types of Data Modeler jobs are:

What are popular job titles related to Entry Level Data Modeler jobs?

For Entry Level Data Modeler jobs, the most frequently searched job titles are:

Infographic showing various Entry Level Data Modeler job openings in the United States as of September 2026, with employment types broken down into 4% Internship, 67% Full Time, 22% Part Time, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

Data Science, Associate - Herndon, VA

Herndon, VA • On-site

Peraton
IT Services • 10K+ employees

$66K - $106K/yr

Full-time

Posted 4 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz


Job description

Responsibilities

Peraton is seeking an Entry-level Data Science Associate in our Herndon, VA location to support a large software development classified program focused on developing, operating, and maintaining mission-critical enterprise capabilities. The program includes supporting existing mission systems while working to develop and deliver modernized, cloud-native, data-driven products and capabilities. The team applies Agile methodologies, DevOps principles, and modern data science, analytics, and machine learning practices to solve complex mission challenges.

The target start date for this position is Summer 2027, after successfully obtaining the necessary security clearance, as dictated by the government program.

Responsibilities:

  • Apply data science and analytical techniques to support mission and business objectives within an Agile development environment.
  • Collect, clean, transform, and analyze large and complex datasets to identify trends, patterns, and actionable insights.
  • Develop and maintain data processing, ETL, and data quality pipelines to support mission-critical applications and analytics.
  • Use programming languages and technologies such as Python, R, Spark, and SQL to perform data analysis, modeling, and automation.
  • Develop, test, and maintain data science and machine learning solutions using frameworks such as TensorFlow, PyTorch, or similar tools.
  • Support the development and integration of machine learning, artificial intelligence, and advanced analytics capabilities.
  • Work with distributed computing environments and large-scale datasets using technologies such as Spark, Kubernetes, and Docker.
  • Troubleshoot data, database, and pipeline issues and develop solutions to improve data quality, reliability, and performance.
  • Collaborate with software engineers, data scientists, analysts, and mission stakeholders to translate complex technical requirements into effective data-driven solutions.
  • Communicate analytical findings, technical concepts, and recommendations clearly to both technical and non-technical audiences.
  • Continuously learn and apply emerging technologies and methodologies in data science, artificial intelligence, machine learning, and analytics.
  • Participate in Agile ceremonies, including sprint planning, stand-ups, reviews, and retrospectives, while collaborating with team members to deliver high-quality solutions.

#PeratonEarlyCareer

Qualifications

Required Qualifications:

  • BS degree in Data Science, Data Analytics, Computational Modeling & Data Analytics, Computer Science, Computer Engineering or related field and 0-2 years of experience.
    • May 2027 grads are welcome to apply. 
  • US Citizenship and the ability to obtain and maintain a TS/SCI security clearance.
  • Foundational experience in data science technologies such as Python, R, Spark, and SQL.
  • Hands on experience through coursework and/or prior internships working with data science frameworks such as TensorFlow, PyTorch, and/or similar tools.
  • Strong analytical and problem-solving skills.
  • Ability to quickly adapt and learn new technologies and concepts.
  • Self-motivated, independent, detail-oriented, responsible team-player.
  • Strong written and oral communication skills.

Desired Qualifications:

  • 3.0 and above GPA.
  • Exposure to Agile development processes and tools.
  • Familiarity developing ETL and data quality pipelines that process vast amounts of data.
  • Prior experience with distributed compute architectures such as Spark, Kubernetes, or Docker containers.
  • Ability to describe complex, technical problems to business stakeholders in a non-technical way.
  • Ability to self-manage day-to-day tasks independently and communicate collaboratively with leadership and other development team
  • Knowledge of big data, data analysis, Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics
  • Understanding of large-language models or running open-source hugging face model
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$66,000 - $106,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017