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Entry Level Architectural Visualization Jobs (NOW HIRING)

... architecture * Entry Level professional experience, including internships * Degree from an ... Strong 3D visualization skills * Experience with AutoCAD, Dynamo and Grasshopper is a plus

... architecture, aviation, civil and structural engineering, planning, transportation, and survey ... visualization, and virtual infrastructure services and solutions. We have the resources needed to ...

... architecture, aviation, civil and structural engineering, planning, transportation, and survey ... visualization, and virtual infrastructure services and solutions. We have the resources needed to ...

We practice interconnected design across architecture, placemaking, landscape architecture, and ... The Designer I role is an entry-level professional position responsible for supporting project ...

Designer I

Los Angeles, CA · Hybrid

$22 - $27/hr

We practice interconnected design across architecture, placemaking, landscape architecture, and ... The Designer I role is an entry-level professional position responsible for supporting project ...

Designer I

Los Angeles, CA · On-site

$67K - $79K/yr

We practice interconnected design across architecture, placemaking, landscape architecture, and ... The Designer I role is an entry-level professional position responsible for supporting project ...

Landscape Designer I

Los Angeles, CA · On-site

$67K - $79K/yr

We practice interconnected design across architecture, placemaking, landscape architecture, and ... The Designer I role is an entry-level professional position responsible for supporting project ...

We practice interconnected design across architecture, placemaking, landscape architecture, and ... The Designer I role is an entry-level professional position responsible for supporting project ...

Designer I

Los Angeles, CA · On-site

$22 - $27/hr

We practice interconnected design across architecture, placemaking, landscape architecture, and ... The Designer I role is an entry-level professional position responsible for supporting project ...

Showing results 41-60

Entry Level Architectural Visualization information

See salary details

$45K

$76.1K

$112K

How much do entry level architectural visualization jobs pay per year?

As of Sep 13, 2026, the average yearly pay for entry level architectural visualization in the United States is $76,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What is entry level architectural visualization?

Entry level architectural visualization refers to the creation of visual representations, such as 3D renderings and animations, of architectural designs by individuals who are new to the field. Professionals in this role typically use software like SketchUp, 3ds Max, or Revit to help architects and clients better understand design concepts before construction begins. Entry level positions usually involve assisting with modeling, texturing, and rendering tasks, while gaining experience and building a portfolio.

What are the key skills and qualifications needed to thrive as an entry level architectural visualization specialist?

To thrive as an Entry Level Architectural Visualization Specialist, you typically need a background in architecture, design, or a related field, with strong skills in 3D modeling, rendering, and visualization techniques. Familiarity with software such as Autodesk 3ds Max, SketchUp, V-Ray, and Adobe Creative Suite is usually expected. Attention to detail, creativity, and effective communication help you interpret client briefs and collaborate with design teams. These competencies ensure compelling visual presentations that accurately convey design concepts and support project proposals.

What are some common challenges faced by entry level architectural visualization professionals, and how can they overcome them?

Entry-level professionals in architectural visualization often face challenges such as mastering industry-standard software, translating architectural concepts into compelling visuals, and managing tight project deadlines. To overcome these, it's helpful to seek mentorship from more experienced team members, invest time in learning tools like 3ds Max, SketchUp, or Revit, and develop a keen eye for detail. Collaborating closely with architects and designers also helps ensure visualizations accurately reflect design intent and client requirements.

What is the difference between Entry Level Architectural Visualization vs Entry Level 3D Modeling?

AspectEntry Level Architectural VisualizationEntry Level 3D Modeling
CredentialsBasic knowledge of architecture, visualization softwareBasic 3D modeling skills, software proficiency
Work EnvironmentArchitectural firms, design studiosDesign agencies, gaming, product design
Industry UsagePrimarily in architecture and real estateVarious industries including entertainment and manufacturing

Entry Level Architectural Visualization focuses on creating realistic visual representations of architectural projects, often requiring knowledge of architecture and visualization tools. Entry Level 3D Modeling involves creating 3D models for multiple industries, emphasizing modeling skills across different software. While both roles require foundational 3D skills, architectural visualization is more specialized in architecture, whereas 3D modeling has broader applications.

More about Entry Level Architectural Visualization jobs

What cities are hiring for Entry Level Architectural Visualization jobs?

Cities with the most Entry Level Architectural Visualization job openings:

What are the most commonly searched types of Architectural Visualization jobs?

The most popular types of Architectural Visualization jobs are:

What states have the most Entry Level Architectural Visualization jobs?

States with the most job openings for Entry Level Architectural Visualization jobs include:

Infographic showing various Entry Level Architectural Visualization job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $76,129 per year, or $36.6 per hour.

Associate Analytics Engineer - Data & Visualization

Austin, TX

SHI
IT Services • 5 - 10K employees

$58K - $59K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago


Job description

About Us

Since 1989, SHI International Corp. has helped organizations change the world through technology. We've grown every year since, and today we're proud to be a $16 billion global provider of IT solutions and services.

Over 17,000 organizations worldwide rely on SHI's concierge approach to help them solve what's next.But the heartbeat of SHI is our employees - all 7,000 of them.If you join our team, you'll enjoy:

  • Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.

  • Continuous professional growth and leadership opportunities.

  • Health, wellness, and financial benefits to offer peace of mind to you and your family.

  • World-class facilities and the technology you need to thrive - in our offices or yours.

Job SummaryThe Associate Analytics Engineer - Data & Visualization supports the development, maintenance, and continuous improvement of dashboards, reporting solutions, and data models that enable business teams to make informed, datadriven decisions. This entrylevel role is designed for earlycareer professionals looking to build a strong foundation in analytics engineering, business intelligence, and data visualization within a modern, cloudbased data environment.
Working closely with senior team members, this role helps transform raw data into trusted, actionable insights while learning best practices related to data modeling, dashboard design, governance, and analytics delivery.

Role Description

Dashboard & Visualization Support

  • Support the development and maintenance of dashboards and reports using tools such as Microsoft Power BI

  • Assist with implementing dashboard enhancements, bug fixes, and usability improvements

  • Help ensure dashboards are visually clear, intuitive, and aligned with established reporting standards

  • Validate dashboard data accuracy and support testing activities prior to releases

  • Support recurring reporting and respond to ad hoc data requests from business stakeholders

Data Engineering & Transformation Support

  • Assist in building and maintaining datasets, transformation logic, and curated reporting tables

  • Support data quality validation and troubleshooting across reporting pipelines

  • Learn and apply analytics engineering best practices related to data structures, naming conventions, and governance

  • Help maintain documentation for datasets, business rules, and KPI definitions

  • Support the broader analytics architecture across platforms such as Microsoft Fabric, SQLbased environments, and cloud data platforms

Analytics Operations & Delivery

  • Participate in sprint planning, backlog refinement, and regular status updates

  • Track work and updates using project management tools such as Asana

  • Collaborate with senior analytics engineers and analysts to support project delivery timelines

  • Assist with production support and issue resolution for dashboards and reporting solutions

  • Learn how analytics solutions integrate with enterprise business processes and workflows

What Success Looks Like

  • Produces accurate, reliable, and wellstructured reporting outputs

  • Demonstrates curiosity, initiative, and continuous learning in analytics engineering concepts

  • Contributes positively to team collaboration and delivery goals

  • Builds stronger technical and business understanding over time

  • Develops confidence in independently supporting dashboards, datasets, and reporting workflows


Behaviors and Competencies

  • Analytical Thinking: Can apply critical thinking to analyze data, identify patterns, and make basic inferences.

  • Data Analysis: Can identify patterns and trends in data, propose hypotheses, and use statistical techniques to test them.

  • Data Literacy: Can identify relevant data sources, collect data, and use basic tools to interpret and report findings.

  • Critical Thinking: Can analyze and interpret data to inform decision-making, and propose solutions based on logical reasoning.

  • Attention to Detail: Can identify errors or inconsistencies in work and make necessary corrections.

  • Communication: Can effectively communicate complex ideas and information, and can adapt communication style to the audience.

  • Problem-Solving: Can identify problems, propose solutions, and take action to resolve them without explicit instructions.

  • Technical Expertise: Can apply technical knowledge and skills effectively in most situations, with occasional guidance.

  • Time Management: Can generally use time effectively and is working towards improving task prioritization and deadline management.

  • Continuous Improvement: Can identify moderate areas for improvement and implement moderate changes.


Skill Level Requirements

  • Foundational analytics and data engineering skill set

  • Ability to work with SQL and relational database structures

  • Data visualization and reporting ability

  • Analytical thinking and attention to detail

  • Problemsolving and troubleshooting skills

  • Clear written and verbal communication skills

  • Collaboration skills within crossfunctional technical teams

  • Ability to manage multiple tasks in a structured, sprintbased environment

  • Willingness to learn new technologies and analytics best practices


Other Requirements

  • Bachelor's degree or equivalent experience required

  • 1-2 years of experience in analytics engineering, business intelligence development, or data modeling roles

  • Foundational understanding of SQL and relational databases

  • Exposure to data visualization or reporting tools through coursework, internships, or personal projects

Preferred:

  • Internship, academic, or project experience using Microsoft Power BI or similar business intelligence tools

  • Exposure to technologies such as SQL, Python, PySpark, or cloudbased data platforms

  • Familiarity with analytics concepts such as ETL/ELT, data modeling, or dashboard design

  • Interest in analytics engineering, business intelligence, or data visualization as a longterm career path

The estimated annual pay range for this position is $75,000 - $95,000 which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.

Equal Employment Opportunity - M/F/Disability/Protected Veteran Status