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Entry Level Remote Data Modeler Jobs in Bountiful, UT

AAPC

Junior Salesforce Developer

Salt Lake City, UT · Remote

$56.75 - $75.25/hr

US Based Remote ONLY About the team: Our RevOps team is the engine of our go-to-market strategy ... Work with OmniStudio to build guided processes and data models, specifically within Education Cloud

Ascent Placement Partners

Be Seen First

Remote Software Engineer - Technical Advisor

Salt Lake City, UT · Remote

$150/hr

Typical work includes: * Auditing model-generated pull requests against real production ... Cross-layer fluency: backend, frontend, APIs, data, testing, or tooling * Strong written ...

micro1 AI

Legal AI Trainer - Remote

West Valley City, UT · Remote

$90 - $150/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Private Funds Attorney - Remote

West Jordan, UT · Remote

$90 - $150/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Legal AI Trainer - Remote

Salt Lake City, UT · Remote

$90 - $150/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

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All JobsData Modeler JobsEntry Level Remote Data Modeler JobsEntry Level Remote Data Modeler Jobs in Bountiful, UT

Entry Level Remote Data Modeler information

See Bountiful, UT salary details

$9

$55

$78

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

As of Sep 15, 2026, the average hourly pay for entry level remote data modeler in Bountiful, UT is $55.35, according to ZipRecruiter salary data. Most workers in this role earn between $49.62 and $64.38 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.

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

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

What cities near Bountiful, UT are hiring for Entry Level Remote Data Modeler jobs?

Cities near Bountiful, UT with the most Entry Level Remote Data Modeler job openings:

Entry Level Remote Data Modeler jobs near you
Infographic showing various Entry Level Remote Data Modeler job openings in Bountiful, UT as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $115,122 per year, or $55.3 per hour.

Generative AI Automation Engineer - Remote Job

West Jordan, UT • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 25 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply