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Data Modeler Jobs in Raleigh, NC (NOW HIRING)

Data Modeler Engineer

Raleigh, NC

$53.25 - $69/hr

Onsite (No Remote) Seeking an experienced Data Modeler Engineer to design and implement enterprise-grade data models supporting large-scale Snowflake and Data Warehouse modernization initiatives ...

Data Analyst

Raleigh, NC · On-site

$100K - $140K/yr

... models and analytical insights • Work closely with stakeholders to identify key KPIs and reporting needs • Ensure data accuracy, consistency, and quality across reports • Support ad-hoc ...

Data Product Architect

Morrisville, NC · On-site

$59.75 - $76.75/hr

You will design scalable data models, build robust data pipelines, and explore cutting-edge technologies such as advanced analytics, data science, machine learning, and AI tools for coding, SQL ...

Data Product Architect

Morrisville, NC · Hybrid

$59.75 - $76.75/hr

You will design scalable data models, build robust data pipelines, and explore cutting-edge technologies such as advanced analytics, data science, machine learning, and AI tools for coding, SQL ...

Sr. Data Analyst

Cary, NC · On-site

$81K - $103K/yr

End to End Solution Architect with experience in data and report requirement analysis/understanding, proposing a performant and scalable data model for BI reporting. Nice to have: Cloud technologies ...

Data Engineer

Raleigh, NC

$111K - $133K/yr

You will work from architecture to implementation: evaluating and selecting platforms, designing data models and pipelines, and building the systems that collect, contextualize, and deliver data to ...

Data Engineer

Durham, NC

$110K - $132K/yr

You will work from architecture to implementation: evaluating and selecting platforms, designing data models and pipelines, and building the systems that collect, contextualize, and deliver data to ...

Senior Data Analyst

Cary, NC · On-site

$79K - $100K/yr

... data model for BI reporting. Nice to have: Cloud technologies, Dental Domain Knowledge or Insurance domain knowledge Soft Skills: Excellent in • Communication • Problem solving and Root cause ...

Build ML Models: Design and implement predictive and prescriptive models for regression ... Author robust data/ML pipelines (orchestrated with Step Functions / Airflow / Argo) that train ...

Build ML Models: Design and implement predictive and prescriptive models for regression ... Author robust data/ML pipelines (orchestrated with Step Functions / Airflow / Argo) that train ...

Data Engineer I

Morrisville, NC · On-site

$107K - $128K/yr

Data Modeling and Identity Resolution: Build and maintain Data Cloud data models, mapping to the canonical data model, and configure identity resolution rulesets to unify customer and account data ...

Collaborate with Survey Project Managers and field crews to integrate weekly as-built survey data ... Maintain model version control, file structure, and project documentation standards. * Assist with ...

Collaborate with Survey Project Managers and field crews to integrate weekly as-built survey data ... Maintain model version control, file structure, and project documentation standards. * Assist with ...

Data Analyst

Raleigh, NC · On-site

$72K - $80K/yr

Develop and maintain data models, dashboards, and reports using Power BI. * Work with large data sets to identify trends, patterns, and insights. * Extract and analyze data from various sources ...

Data Analyst

Raleigh, NC · On-site

$72K - $80K/yr

Develop and maintain data models, dashboards, and reports using Power BI. * Work with large data sets to identify trends, patterns, and insights. * Extract and analyze data from various sources ...

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data pipelines, integrations, and data models that support enterprise reporting, analytics, data migration, and ...

Data Engineer

Raleigh, NC

$111K - $133K/yr

Data Modeling for Analytics: Design dimensional models (star schema, aggregation tables) that serve Power BI dashboards and self-service analytics effectively. Prepare the semantic layer for AI ...

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Data Modeler information

See Raleigh, NC salary details

$10

$57

$80

How much do data modeler jobs pay per hour?

As of Jun 21, 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.

Will AI replace data modelers?

AI tools can automate certain tasks in data modeling, such as generating schemas or analyzing data patterns, but data modelers are essential for designing complex data structures, understanding business requirements, and ensuring data quality. The role is evolving to include working alongside AI and developing skills in data architecture and tools like ER diagrams and modeling software.

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.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with specialized skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.

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 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 is the work of data modeler?

A data modeler designs and creates data structures and schemas to organize and store data efficiently for databases and information systems. They analyze business requirements, develop data models using tools like ER diagrams, and ensure data integrity and consistency. Strong knowledge of database management systems and data modeling techniques is essential for this role.

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 jobs in the US pay $300,000 a year?

Data Modelers with extensive experience, advanced skills in data architecture, and certifications such as Certified Data Management Professional (CDMP) can reach salaries around $300,000 annually, especially in senior or specialized roles within large organizations. High-paying roles often require expertise in database design, programming, and familiarity with tools like SQL, Python, or cloud platforms, along with a strong understanding of business needs and data governance.
What are the most commonly searched types of Data Modeler jobs in Raleigh, NC? The most popular types of Data Modeler jobs in Raleigh, NC are:
What are popular job titles related to Data Modeler jobs in Raleigh, NC? For Data Modeler jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Data Modeler jobs? Cities near Raleigh, NC with the most Data Modeler job openings:
Infographic showing various Data Modeler job openings in Raleigh, NC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $118,706 per year, or $57.1 per hour.

Data Modeler Engineer

Siritech Solutions Corp

Raleigh, NC

$53.25 - $69/hr

Full-time

Posted 29 days ago


Job description

Total Required Experience in Years: Minimum 810+ Years


Mode of Work: Onsite (No Remote)


Job Description:
Seeking an experienced Data Modeler Engineer to design and implement enterprise-grade data models supporting large-scale Snowflake and Data Warehouse modernization initiatives within a banking environment. The ideal candidate should possess strong expertise in data modeling, Snowflake architecture, SQL, ETL concepts, ER modeling, SAS data analysis understanding, and enterprise data warehousing. This role requires hands-on experience designing logical and physical data models, supporting Snowflake architecture, building scalable enterprise data warehouse schemas, optimizing data structures for performance, and ensuring data quality, governance, and metadata management while aligning technical solutions with business requirements.


Key Responsibilities:

  • Design and implement enterprise logical and physical data models for scalable data platforms
  • Define enterprise data modeling standards, structures, and best practices supporting Snowflake environments
  • Conduct impact analysis and ensure model alignment with business and reporting requirements
  • Engineer conceptual, logical, and physical ER models for enterprise-grade data platforms
  • Design high-performance data warehouse schemas including Star and Snowflake schemas for analytics optimization
  • Develop and optimize Fact and Dimension tables supporting reporting and BI workloads
  • Apply dimensional modeling techniques including Kimball methodology and Data Vault 2.0 architecture
  • Support Snowflake data modeling, clustering, query optimization, and performance tuning activities
  • Utilize advanced SQL for data transformation, validation, and query optimization
  • Collaborate with ETL teams to design scalable and efficient enterprise data pipelines
  • Ensure enterprise data integrity, governance, metadata management, and data quality standards
  • Translate business requirements into scalable, future-ready enterprise data models
  • Design end-to-end Data Warehouse architecture across staging, core, and presentation/BI layers


Additional Responsibilities:

  • Support enterprise modernization and data warehouse optimization initiatives
  • Collaborate with business teams, architects, ETL developers, and stakeholders on enterprise data strategies
  • Maintain enterprise modeling documentation, standards, and governance practices
  • Support performance tuning and scalable data platform improvements
  • Ensure alignment between business needs, enterprise architecture, and reporting requirements


Required Skills:

  • Strong expertise in enterprise data modeling and ER modeling concepts
  • Strong Snowflake experience including architecture, clustering, and performance tuning
  • Advanced SQL skills supporting transformations, validations, and query optimization
  • Strong understanding of SAS for data analysis and business logic interpretation
  • Experience with ETL concepts, Data Warehousing, and scalable data pipeline design
  • Experience designing Star and Snowflake schemas for reporting and analytics workloads
  • Expertise in Dimensional Modeling (Kimball) and Data Vault 2.0 methodologies
  • Strong experience developing Fact and Dimension tables for enterprise reporting systems
  • Experience supporting enterprise data governance, integrity, and metadata management


Qualifications:

  • Minimum 810+ years of strong hands-on Data Modeling and Data Warehouse experience required
  • Experience supporting Snowflake modernization and enterprise analytics initiatives preferred
  • Strong enterprise architecture, performance optimization, and stakeholder collaboration experience preferred
  • Experience translating business requirements into scalable enterprise data solutions preferred