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Data Modeler Jobs in Raleigh, NC (NOW HIRING)

DPR Construction

Data Engineering Lead- Finance

Raleigh, NC

$111.30K - $133.70K/yr

Partner with the extended data team to define, develop, and maintain shared data models and definitions. * Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure ...

DPR Construction

Data Engineering Lead- Finance

Raleigh, NC · On-site

$111.30K - $133.70K/yr

Partner with the extended data team to define, develop, and maintain shared data models and definitions. * Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure ...

Deloitte

AI Data Engineer Manager

Raleigh, NC

$111.30K - $133.70K/yr

AI Data Engineer Manager Position Summary Our Human Capital practice is at the forefront of ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

Q2

Data Engineer

Cary, NC · On-site

$106.10K - $127.40K/yr

You'll play a key role in ensuring data is reliable, scalable, and accessible to power models, agents, and UIs directly impacting our customers' ability to detect and prevent fraud. This is an ...

Q2 Software, Inc.

Data Engineer

Cary, NC · On-site

$106.10K - $127.40K/yr

You'll play a key role in ensuring data is reliable, scalable, and accessible to power models, agents, and UIs directly impacting our customers' ability to detect and prevent fraud. This is an ...

Deloitte

AI Data Engineer - Manager

Raleigh, NC

$111.30K - $133.70K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

Nutanix

Sr. Data Analyst, Worldwide Support

Durham, NC · On-site

$83.10K - $104.80K/yr

Partner with data science teams to support data models, transformations, and integrations * Understand data refresh cycles, latency, and lineage to ensure reliable and trusted reporting Business ...

Deloitte

AI Data Engineer Senior Consultant

Raleigh, NC · On-site

$111.30K - $133.70K/yr

They are seeking an AI Data Engineer Senior Consultant to build and operate the data, features, and ... model-enabled capabilities, including copilots, knowledge assistants, summarization, and policy ...

Epic Games

Data Science Lead

Cary, NC · On-site

Transform raw data into data models, production metrics, reports, and insights * Continuously evaluate the effectiveness of metrics and align them with long-term ecosystem growth * Work with design ...

US IT Solutions Inc

Data Architect(UML exp)_RTP

Raleigh, NC · On-site

$62 - $79.75/hr

Data modeling and creating data flow diagrams * Qualifications * Understanding Frameworks * Ability to use a variety of design tools * Knowledge of UML * Requirements analysis and management ...

Skanska USA

Data Analytics Engineer

Durham, NC

$110.60K - $132.90K/yr

The Data Analytics Engineer focuses on creating intuitive data models and solutions that enable business partners to easily understand and leverage high-quality, well-structured data. The ideal ...

Deloitte

AI Data Engineer Manager

Raleigh, NC · On-site

They are seeking an AI Data Engineer Manager to lead data architecture and engineering delivery for ... model deployment, integrating with cloud and on-premises systems. • Select appropriate ...

Deloitte

AI Data Engineer - Manager

Raleigh, NC · On-site

They are seeking an AI Data Engineer - Manager to lead data architecture and engineering delivery ... model deployment, integrating with cloud and on-premises systems. • Select appropriate ...

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$10

$57

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How much do data modeler jobs pay per hour?

As of May 29, 2026, the average hourly pay for data modeler in Raleigh, NC is $57.07, according to ZipRecruiter salary data. Most workers in this role earn between $51.15 and $66.35 per hour, depending on experience, location, and employer.

What Is the Job of a Data Modeler?

As a data modeler, your responsibilities are to break down complex computer system data into a logical process that makes it easier to understand for data analysis and statistical purposes. Your duties as a data modeler include reducing data redundancy, checking for data errors, conceptualizing and designing efficient data models, overseeing data architecture growth, and fine-tuning data performance. These positions are usually independent, but you may sometimes need to work with other team members to address potential issues related to data. Data modelers need self-motivation, critical thinking, and problem-solving skills, and you should be quick to adapt.

What are the key skills and qualifications needed to thrive as a Data Modeler, and why are they important?

To thrive as a Data Modeler, you need a strong understanding of database design, data modeling concepts (such as ER diagrams and normalization), and proficiency in SQL, often supported by a degree in computer science or a related field. Experience with data modeling tools like ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, as well as knowledge of database management systems (DBMS), is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in translating business requirements into technical data structures. These skills and qualities are essential for building scalable, efficient, and accurate data systems that meet organizational needs.

What are some typical challenges Data Modelers face when working on large-scale projects?

Data Modelers often encounter challenges such as integrating data from multiple, disparate sources and ensuring consistency across large and complex datasets. Aligning the data model with evolving business requirements while maintaining performance and scalability can also be demanding. Additionally, effective communication with stakeholders—like business analysts, database administrators, and software developers—is crucial to ensure the data model meets both technical and business needs.

What are Data Modelers?

Data Modelers are professionals who design, create, and manage data models that define the structure, organization, and relationships of data within databases or information systems. They work closely with business analysts, database administrators, and developers to ensure that data is organized efficiently and can be accessed and used effectively. Data Modelers use specialized tools and techniques to translate business requirements into conceptual, logical, and physical data models, supporting data consistency, integrity, and security across an organization's systems.

What are the 4 types of data models?

Data modelers typically work with four main types of data models: conceptual, logical, physical, and view models. Conceptual models define high-level data structures, logical models detail the data organization without physical considerations, physical models specify how data is stored in databases, and view models focus on specific user perspectives. Understanding these types helps data modelers design efficient and accurate database systems.

What jobs pay $3,000 a day?

High-paying roles such as senior data modelers, data architects, and specialized consultants can earn around $3,000 per day, especially with extensive experience, advanced certifications, and working in consulting or contract positions. These roles often require strong technical skills in data modeling, database design, and relevant tools like ERwin or PowerDesigner, and may involve project-based or freelance work with flexible schedules.
More about Data Modeler jobs
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Data Modeler jobs near you
Data Science Manager - AI Trainer

Data Science Manager - AI Trainer

DataAnnotation

Raleigh, NC • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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