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Data Modeling Jobs in Durham, NC (NOW HIRING)

Fidelity Investments

Principal Data Modeler

Durham, NC · On-site +1

$53 - $68.50/hr

Maintains consistent application of data standards, naming conventions, and modeling best practices across all projects. Builds structured and organized representations of data, which serve as a ...

Fidelity Investments

Principal Data Modeler

Durham, NC · On-site

$53 - $68.50/hr

Maintains consistent application of data standards, naming conventions, and modeling best practices across all projects. Builds structured and organized representations of data, which serve as a ...

CYNET SYSTEMS

Data Modeler

Cary, NC · On-site

$55 - $60/hr

Translates business user information requirements into data structure requirements. * Ensures quality service delivery by collaborating with all other teams. Nice to Have: * Business knowledge of the ...

NetApp, Inc.

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 ...

NetApp

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 ...

Tata Consultancy Service Limited

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 ...

Kimley-Horn

Data Engineer

Raleigh, NC

$111K - $133K/yr

Support the design and enhancement of enterprise data models and data architecture. * Collaborate with BI developers to provide optimized datasets for Power BI reporting and semantic models.

Kimley-Horn

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Support the design and enhancement of enterprise data models and data architecture. * Collaborate with BI developers to provide optimized datasets for Power BI reporting and semantic models.

Kimley-Horn

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Support the design and enhancement of enterprise data models and data architecture. * Collaborate with BI developers to provide optimized datasets for Power BI reporting and semantic models.

Kimley-Horn

Data Engineer

Raleigh, NC

$111K - $133K/yr

Support the design and enhancement of enterprise data models and data architecture. * Collaborate with BI developers to provide optimized datasets for Power BI reporting and semantic models.

Innosoul inc

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

NC-806590 Hybrid/Local Govt Azure Data Engineer (15+) with Power BI (must), dataflows/DirectQuery/Import models, JSON/CSV/Parquet, Synapse/Snowflake/ADLS/Data Factory/Databricks, ETL/ELT, tuning ...

Relias US

Data Engineer I - Data 360

Morrisville, NC · Hybrid

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 ...

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All JobsData Modeling JobsData Modeling Jobs in Durham, NC

Data Modeling information

See Durham, NC salary details

$9

$56

$80

How much do data modeling jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data modeling in Durham, NC is $56.73, according to ZipRecruiter salary data. Most workers in this role earn between $50.87 and $65.96 per hour, depending on experience, location, and employer.

What do data modelers do?

Data modelers design and create data structures and schemas to organize and define how data is stored, accessed, and managed within databases. They analyze business requirements, develop data models using tools like ER diagrams, and ensure data consistency and integrity, often working with database management systems and data governance standards.

What are the key skills and qualifications needed to thrive in data modeling, 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 is a data modeling?

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.

How much do data modelers make?

Data modelers typically earn a median annual salary between $70,000 and $110,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $120,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

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 is a data modeling job?

A data modeling job involves designing and creating data structures, such as databases and schemas, to organize and store information efficiently. Data modelers use tools like ER diagrams and work with programming languages and database management systems to ensure data integrity and accessibility.
What are popular job titles related to Data Modeling jobs in Durham, NC? For Data Modeling jobs in Durham, NC, the most frequently searched job titles are:
What job categories do people searching Data Modeling jobs in Durham, NC look for? The top searched job categories for Data Modeling jobs in Durham, NC are:
What cities near Durham, NC are hiring for Data Modeling jobs? Cities near Durham, NC with the most Data Modeling job openings:
Data Modeling jobs near you
Infographic showing various Data Modeling job openings in Durham, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,008 per year, or $56.7 per hour.

Principal Data Modeler

Habitat For Humanity Of Durham

Durham, NC • On-site

$90 - $130/hr

Other

Medical, Life

Posted 2 days ago

New

Job description

Principal Data Modeler Location
  • Durham, NC
Team
  • Technology
Experience Level

Senior Manager

Onsite

Job Description

Position Description:

Develops conceptual, logical, and physical data models that align with business domains and enterprise architecture. Maintains consistent application of data standards, naming conventions, and modeling best practices across all projects. Builds structured and organized representations of data, which serve as a blueprint for efficient data storage and retrieval, using data modeling tools -- SAP Power Designer and ERWIN. Creates and delivers data mapping specifications and data models for large reporting platforms, using Oracle, Hadoop, Postgres, and Microsoft SQL Server. Creates new data models and software structures to detail the flow of data from origination to consumption, using data platforms -- Oracle, Snowflake, Hadoop, Postgres, and Microsoft SQL Server, by applying data design patterns -- Online Transaction Processing (OLTP) recordkeeping, Operational Data Stores (ODS), Master Data Management (MDM), warehousing, and data lakes. Creates and delivers data lake solutions and data warehouses using database technologies Snowflake on Amazon Web Services (AWS). Performs database querying by leveraging SQL.

Primary Responsibilities

  • Collaborates with solution architects, data engineers, and business stakeholders to design models that support scalability, interoperability, and compliance.
  • Defines and leads enterprise-level data strategy and analytics initiatives.
  • Maintains technical requirements in a multi-platform and highly integrated data environment using dimensional, relational, and unstructured modeling strategies.
  • Designs data validation procedures, Extract, Transform, Load (ETL) development, and data modeling and mapping documentation.
  • Discovers, designs, and delivers database design solutions for key business partners.
  • Develops and implements advanced data solutions to support analytics and reporting capabilities.
  • Confers with systems analysts and other software engineers and developers to design systems and to obtain information on project limitations and capabilities, performance requirements, and interfaces.
  • Performs analysis in the form of research, gap analysis, data mining, and data profiling.
  • Collaborates and influences across all levels of the organization, including written, verbal, and technology illustrations.
  • Advises senior leadership on data infrastructure and technology solutions.
  • Provides guidance to junior data modelers.
  • Performs independent and complex technical and functional analysis for multiple divisional initiatives.
  • Develops innovative solutions to support scalable, secure, and high-performance data environments.

Education and Experience:

Bachelor’s degree in Computer Science, Engineering, Information Technology, Cybersecurity, Information Systems, Data Analytics, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Data Modeler (or closely related occupation) performing relational data modeling and analysis on relational databases using SQL in a financial services environment.

Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Cybersecurity, Information Systems, Data Analytics, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Data Modeler (or closely related occupation) performing relational data modeling and analysis on relational databases using SQL in a financial services environment.

Skills and Knowledge:

Candidate must also possess:

  • Demonstrated Expertise (“DE”) designing complex relational databases using data modeling techniques to create conceptual, logical, and physical models according to standards, taxonomy, and best practices.
  • DE generating Data Definition Language (DDL) scripts (forward-engineer) and Data Manipulation Language (DML) scripts to create and update physical databases; and performing reverse-engineering of system databases to create additional external tables and columns to gather data requirements from the source databases.
  • DE building source-to-target mapping documents, profiling, mining, specifying, extracting, cleansing, and analyzing large data warehouses, using SQL Developer, Toad, and Python; generating insights for business and end users using SQL reports; writing SQL queries and views against the database (SQL Server and Oracle) and generating reports; and modifying existing SQL queries to improve query performance.
  • DE conducting root cause analysis using SQL queries for business requests; collaborating with business groups to understand application requirements; coordinating with enterprise cross-functional and non-technical teams, preparing functional specifications, and translating them into technical solutions; building ad hoc tables and reports for required use cases; and analyzing and interpreting data flowing from multiple work streams.

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Fidelity’s Onsite Working Model

Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Benefits that balance life and work

From our fully paid parent leave to our on-site health and wellness centers, our benefits support the belief that more balance you have, the better you can achieve your goals.

Reasonable accommodations

Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation contact the HR Accommodation Team by sending an email to accommodations@fmr.com, or by calling 800-835-5099, prompt 2, option 3.

Equal opportunity employer

Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop, and retain a diverse workforce is to build an enduring culture of inclusion and belonging.

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