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Data Modeling Jobs in Raleigh, NC (NOW HIRING)

Siritech Solutions Corp

Data Modeler Engineer

Raleigh, NC · On-site

$53.25 - $69/hr

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 ...

Vulcan Elements

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 ...

Diverse Lynx

Sr Data Bricks Engineer

Raleigh, NC

$111K - $133K/yr

Experience with ETL processes, data modeling, and performance tuning. Familiarity with Python or Scala for data engineering tasks. Excellent problem-solving and communication skills. Roles ...

Vulcan Elements

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 ...

Futran Tech Solutions Pvt. Ltd.

Big Data Developer

Raleigh, NC · On-site

$51.50 - $66.75/hr

Experience with metadata management, data cataloguing, data modeling, and related tools (Enterprise Architect, Erwin or ER Studio or others) * Solid experience with Big Data tools like Spark, Python ...

Towne Bank

Data Engineer

Raleigh, NC · On-site

$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 ...

IT Automation LLC

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 ...

IT Automation LLC

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 ...

Accenture

Azure Data Architect

Raleigh, NC

$66.05 - $76.05/hr

This role plays a critical part in defining data models, data flows, architectural standards, and best practices across the organization. Responsibilities: * Design and maintain enterprise data ...

Focused HR Solutions

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

Data Modeling and Database Design: * Proficiency in designing and implementing relational and non-relational databases. * Knowledge of data modeling techniques and tools. Azure Data Services: * Deep ...

Labcorp

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

Design and implement end-to-end data engineering solutions by leveraging the full suite of Databricks, Fabric tools, including data ingestion, transformation, and modeling. * Design, develop and ...

Labcorp

Senior Data Engineer

Durham, NC

$102K - $139K/yr

Design and implement end-to-end data engineering solutions by leveraging the full suite of Databricks, Fabric tools, including data ingestion, transformation, and modeling. * Design, develop and ...

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 ...

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All JobsData Modeling JobsData Modeling Jobs in Raleigh, NC

Data Modeling information

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$57

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How much do data modeling jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for data modeling 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 are the key skills and qualifications needed to thrive in the Data Modeling position, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

What are the four types of data modeling?

Data modeling in data analysis and database design typically includes four main types: conceptual, logical, physical, and dimensional modeling. Conceptual models define high-level data structures, logical models specify detailed structures without physical considerations, physical models translate logical models into actual database schemas, and dimensional models are used in data warehousing for analytical purposes. Data modelers often use tools like ER diagrams and require understanding of database systems and business requirements.

What is a Data Modeling job?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

What does a typical day look like for someone working in Data Modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What are popular job titles related to Data Modeling jobs in Raleigh, NC? For Data Modeling jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Modeling jobs in Raleigh, NC look for? The top searched job categories for Data Modeling jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Modeling jobs? Cities near Raleigh, NC with the most Data Modeling job openings:
Data Modeling jobs near you
Infographic showing various Data Modeling job openings in Raleigh, NC as of May 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 82% In-person, 3% Hybrid, and 15% Remote job distribution, with an average salary of $118,713 per year, or $57.1 per hour.

Data Modeler Engineer

Siritech Solutions Corp

Raleigh, NC • On-site

$53.25 - $69/hr

Full-time

Posted 17 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