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Data Modeler Jobs (NOW HIRING)

Data Modeler

Dallas, TX · On-site

$54.25 - $70.25/hr

Data Modeler * Design scalable data models optimized for Snowflakes cloud-native architecture, including use of virtual warehouses, clustering keys, and materialized views. * Develop conceptual ...

Data Modeler

San Ramon, CA · On-site

$61.25 - $79.25/hr

Create conceptual data models that need to be validated with Business Users for current projects as well as other impacted projects. Required Skills: Expertise in Relational Data Models (conceptual ...

Data Modeler

Los Angeles, CA · On-site

$59 - $76.50/hr

Data Modeler Location: Onsite - Woodland Hills or Los Angeles, CA Experience: 10+ Years We are seeking a highly skilled Data Modeler with extensive experience in the Property & Casualty (P&C ...

Data Modeler

Los Angeles, CA · On-site

$59 - $76.50/hr

Data Modeler Location: Onsite - Woodland Hills or Los Angeles, CA Experience: 10+ Years We are seeking a highly skilled Data Modeler with extensive experience in the Property & Casualty (P&C ...

Data Modeler

Dallas, TX · Remote

$70 - $85/hr

We are currently seeking a Data Modeler for our client in the Oil and Gas domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract ...

Data Modeler

Mclean, VA · On-site

$55.25 - $71.75/hr

Senior Data Modeler Location: McLean, VA (Onsite) The Role We are seeking a Senior Data Modeler to design, develop, and optimize data models that support complex financial systems. You will work ...

Data Modeler

Westlake Village, CA · On-site

$57.25 - $74.25/hr

Data Modeler Location: Westlake Village, CA (Onsite) Type: Contract Experience: 8+ Years Role Overview We are seeking an experienced Data Modeler with strong expertise in data modeling, ETL processes ...

Data Modeler

Pasadena, CA

$59.75 - $77.50/hr

Should have expert knowledge of conceptual, logical and physical data models including 3rd Normal Form and dimensional data modeling. Physical should include a good understanding of database views ...

Data Modeler

Dallas, TX · Remote

$60 - $70/hr

We are currently seeking a Data Modeler for our client in the Oil and Gas domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract ...

Data Modeler

New York, NY · Remote

$56 - $72.75/hr

More than 10 Years of Data Modeling Experience with experience on ERWIN tool. * MUST HAVE HAD EXPERIENCE WITH MULTIPLE FINANCIAL/BANKING CLIENTS. * Experience developing conceptual, logical, and ...

Data Modeler

Los Angeles, CA · On-site

$59 - $76.50/hr

Data Modeler Location: Onsite - Woodland Hills or Los Angeles, CA Experience: 10+ Years We are seeking a highly skilled Data Modeler with extensive experience in the Property & Casualty (P&C ...

Data Modeler

Las Vegas, NV · On-site

$52.75 - $68.25/hr

Data Modeler Location: Las Vegas, NV (Onsite) Duration: 12 months 8 + years of experience in Data Modeling & Data Analysis and should have excellent communication and leadership skills. Financial ...

Data Modeler

Richardson, TX · On-site

$49.75 - $64.50/hr

Job Summary - Senior Data Modeler - Location: Richardson, TX (Remote work possible) - Contract Duration: 12 months - Visa Status: Requires visa independent candidates OPT - Minimum Experience: 3+ ...

Data Modeler

Charlotte, NC · On-site

$53.50 - $69.25/hr

Data Modeler Charlotte, NC or Dallas, TX Contract We are seeking a highly skilled Senior Consultant with a strong background in Data Modeling and Data Engineering. The ideal candidate will possess ...

Data Modeler

Manhattan, NY · On-site

$110K - $125K/yr

Hudson Insurance Group is seeking a Data Modeler to design, develop, and maintain enterprise data models that support our evolving data ecosystem. This role is pivotal in establishing standardized ...

Data Modeler

Los Angeles, CA · On-site

$59 - $76.50/hr

Data Modeler Location: Onsite - Woodland Hills or Los Angeles, CA Experience: 10+ Years We are seeking a highly skilled Data Modeler with extensive experience in the Property & Casualty (P&C ...

Data Modeler

Charlotte, NC · On-site

$53.50 - $69.25/hr

Data Modeler Job Location : Charlotte, NC (ONSITE) Job Type : Full-Time Must Have Technical/Functional Skills Primary Skill: Data Modeler Secondary: Informatica/Hadoop Experience: Minimum 10 years ...

Data Modeler

Reston, VA · On-site

$57 - $73.75/hr

Data Modeler Reston, VA (3 days onsite per week) Duration: 2 years * Role overview: The data modeler will support multiple scrum teams by modeling fields for new events, working closely with product ...

Data Modeler

Atlanta, GA · On-site

$52.75 - $68.25/hr

Data Modeler Remote Long Term 3-5 years of relevant experience in Data Modelling. JD Below : * Analyzing and translating business needs into long-term solution data models. * Evaluating existing data ...

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Data Modeler information

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$10

$58

$83

How much do data modeler jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for data modeler in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 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.
What cities are hiring for Data Modeler jobs? Cities with the most Data Modeler job openings:
What are the most commonly searched types of Data Modeler jobs? The most popular types of Data Modeler jobs are:
Who are the top companies hiring for Data Modeler jobs? The top employers for Data Modeler jobs are:
What states have the most Data Modeler jobs? States with the most job openings for Data Modeler jobs include:
What job categories do people searching Data Modeler jobs look for? The top searched job categories for Data Modeler jobs are:
What are popular job titles related to Data Modeler jobs? For Data Modeler jobs, the most frequently searched job titles are:
Infographic showing various Data Modeler job openings in the United States as of May 2026, with employment types broken down into 100% As Needed. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

$54.25 - $70.25/hr

Full-time

Posted 3 days ago


Job description

Overview:
Data Modeler
  • Design scalable data models optimized for Snowflakes cloud-native architecture, including use of virtual warehouses, clustering keys, and materialized views.
  • Develop conceptual, logical, and physical data models that align with financial regulatory requirements (e.g., Basel III, SOX, GDPR).
  • Collaborate with data engineers and architects to implement models that support real-time analytics, fraud detection, and risk management.
  • Ensure data quality and consistency across diverse financial systems such as trading platforms, customer onboarding, and compliance tools.
  • Integrate structured and semi-structured data (e.g., JSON, XML) using Snowflakes native capabilities to support complex financial reporting.
  • Document data lineage and metadata to support auditability and transparency for internal and external stakeholders.
  • Optimize data storage and query performance using Snowflake-specific features like automatic clustering and query profiling.
  • Support data governance initiatives by aligning models with enterprise data catalogs, stewardship policies, and access controls.
  • Collaborate with business analysts and compliance teams to translate financial reporting needs into robust data structures.
  • Continuously refine models based on evolving financial products, market conditions, and regulatory changes.

Qualifications Education Experience
  • Bachelors degree in Computer Science, Information Systems, Data Science, or a related field (Masters preferred).
  • 5 years of experience in data modeling, with at least 2 years working with Snowflake in a production environment.
  • Prior experience in the financial services industry, with familiarity in domains like risk, compliance, trading, or customer analytics.

Technical Skills
  • Proficiency in designing conceptual, logical, and physical data models.
  • Strong SQL skills and experience with Snowflake-specific features (e.g., Snowpipe, Streams, Tasks, Time Travel).
  • Familiarity with data modeling tools (e.g., ERStudio, ERwin, dbt, or similar).
  • Understanding of data warehousing principles, dimensional modeling, and normalization techniques.
  • Experience integrating structured and semi-structured data (e.g., JSON, XML) in Snowflake.
  • Domain Knowledge Knowledge of financial data structures and regulatory requirements (e.g., SOX, Basel III, GDPR).
  • Experience working with data governance, metadata management, and data quality frameworks.
  • Soft Skills Strong collaboration and communication skills to work with cross-functional teams including data engineers, analysts, and compliance officers.
  • Ability to translate business requirements into scalable and efficient data models.
  • Detail-oriented with a focus on data accuracy, consistency, and performance.