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Entry Level Remote Data Modeler Jobs in Atlanta, GA

The Butler Agency

Entry Level Sales

Atlanta, GA · Remote

... The Model Fully remote -- work from anywhere, on a schedule you set 1099 independent contractor -- you run your own business, on your own terms Performance-based -- your growth and results are ...

New

micro1 AI

Cheminformatics Specialist - Remote

Atlanta, GA · On-site +1

$90 - $120/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Scope of Work * Analyze and annotate complex biological data sets, focusing on applications ...

YO AI Labs

AI Finance Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Assess and annotate financial data, reports, and AI-generated outputs using structured evaluation ... Provide detailed feedback to improve AI model performance and financial reasoning. Required Skills

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Entry Level Remote Data Modeler information

See Atlanta, GA salary details

$9

$56

$79

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

As of Aug 20, 2026, the average hourly pay for entry level remote data modeler in Atlanta, GA is $56.46, according to ZipRecruiter salary data. Most workers in this role earn between $50.62 and $65.67 per hour, depending on experience, location, and employer.

What does an entry level remote data modeler do?

An Entry Level Remote Data Modeler assists in designing, creating, and maintaining data models that organize and structure information for companies, typically while working from home. They work closely with data architects and analysts to translate business requirements into technical data structures, such as databases or data warehouses. Their tasks may include creating diagrams, documenting data flows, and ensuring data integrity. This role often requires proficiency in data modeling tools and a basic understanding of databases and data management concepts.

What are the key skills and qualifications needed to thrive as an entry level remote data modeler, and why are they important?

To thrive as an Entry Level Remote Data Modeler, you need foundational knowledge in database concepts, data modeling principles, and a relevant degree in computer science or information systems. Familiarity with tools like ER/Studio, Microsoft Visio, and SQL-based database systems is typically expected. Strong analytical thinking, attention to detail, and effective communication are standout soft skills for this role. These skills and qualities are important because they ensure accurate data structure design, collaboration with remote teams, and successful implementation of data solutions.

What are the typical challenges faced by entry level remote data modelers, and how can they overcome them?

Entry-level remote data modelers often face challenges such as limited access to immediate mentorship, difficulty understanding complex data structures, and ensuring clear communication with distributed teams. To overcome these obstacles, it’s important to proactively seek feedback through regular virtual meetings, utilize collaboration platforms for documentation and model sharing, and participate in online forums or communities for peer support. Building a habit of clear, detailed documentation and asking clarifying questions early can also help navigate the learning curve and contribute effectively to team projects.

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

AspectEntry Level Remote Data ModelerEntry Level Remote Data Analyst
Primary FocusDesigning and developing data models and database structuresAnalyzing data sets to identify trends and generate reports
Required SkillsData modeling, SQL, database design, understanding of data architectureData analysis, Excel, SQL, visualization tools
Work EnvironmentRemote, often collaborating with data engineers and developersRemote, working with business teams and stakeholders
Common CertificationsNone required but beneficial: Microsoft Certified Data Analyst, IBM Data ScienceNone required but beneficial: Microsoft Certified Data Analyst, Google Data Analytics

While both roles are entry-level and often remote, data modelers focus on structuring and designing data systems, whereas data analysts interpret data to support decision-making. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are the most commonly searched types of Remote Data Modeler jobs in Atlanta, GA?

The most popular types of Remote Data Modeler jobs in Atlanta, GA are:

What are popular job titles related to Entry Level Remote Data Modeler jobs in Atlanta, GA?

For Entry Level Remote Data Modeler jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Entry Level Remote Data Modeler jobs in Atlanta, GA look for?

The top searched job categories for Entry Level Remote Data Modeler jobs in Atlanta, GA are:

Entry Level Remote Data Modeler jobs near you
Infographic showing various Entry Level Remote Data Modeler job openings in Atlanta, GA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,440 per year, or $56.5 per hour.

TeamCenter cloud Admin(AWS & cloud)

Sidram Technologies

Atlanta, GA • Remote

Contractor

Re-posted 14 days ago

Job description

Role: TeamCenter cloud Admin
location: Remote

Teamcenter Installation: Strong knowledge in the installation of Teamcenter in both 2-Tier and 4-Tier environments, with expertise in AWC (Active Workspace Configuration) being essential. 

Team Center NX Integration experience is must.

Teamcenter Upgrade Expertise: Experience in upgrading Teamcenter across different versions. Proficiency in using Deployment Center (DC) for Teamcenter upgrades is preferred.

BMIDE and Code Upgrade: Ability to upgrade BMIDE (Business Modeler Integrated Development Environment).

Knowledge of code upgrades involving ITK, Java, and configurations.

Teamcenter Administration: Strong understanding of Teamcenter Administration, including data modeling and configuration management.

Troubleshooting & Analytical Skills: Adept in analyzing and resolving Teamcenter issues with strong problem-solving skills.

Integration and CAD Knowledge: Experience with Teamcenter Integration is preferred.

Any knowledge of CAD tools is a plus.

Cloud Knowledge: Familiarity with cloud technologies will be considered an added advantage.

Adam 
Email: Adam@sidramtech.com