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Data Modeling Jobs in Oregon (NOW HIRING)

Aptive

$54.75 - $71/hr

Primary Responsibilities Data Modeling & Architecture * Design conceptual, logical, and physical data models supporting VFMP modernization initiatives. * Develop and maintain enterprise data ...

Credit Acceptance

Senior Data Modeler

OR · On-site +1

This role combines strong hands-on modeling expertise with growing involvement in AI-forward data practices-including semantic layers, enriched metadata, and structured data descriptions that enable ...

RevSpring, Inc.

Data Architect (Data Platform)

Portland, OR · On-site

$67.50 - $87/hr

Data Modeling & Design You need to be fluent in conceptual, logical, and physical data modeling. That includes understanding normalization vs. denormalization, dimensional modeling (star/snowflake ...

RevSpring Inc

Data Architect (Data Platform)

Portland, OR

$67.50 - $87/hr

Data Modeling amp; Design You need to be fluent in conceptual, logical, and physical data modeling. That includes understanding normalization vs. denormalization, dimensional modeling (star/snowflake ...

Magnitudesoftware

OR · On-site

$114K - $137K/yr

Partner with the team to define and enforce data modeling standards, naming conventions, and documentation practices. * Monitor pipeline health, troubleshoot failures, and implement proactive ...

Omni Inclusive

Data Engineer

Portland, OR · On-site

$121K - $145K/yr

Strong hands-on experience with Snowflake (data modeling, performance tuning, cost optimization). * Solid expertise in AWS (data engineering services and integrations). * Experience with enterprise ...

Tech Holding

OR

$114K - $137K/yr

This role will focus on building and optimizing data models, developing scalable reporting solutions, and enabling data-driven decision-making through Looker and modern data stack technologies. The ...

MANSCAPED

OR · On-site

This role willown the MANSCAPED architecture and data modeling standards, while partnering closely with Technology on infrastructure, identity management, security, production operations, and source ...

AAON, Inc.

Data & Analytics Analyst IV

Redmond, OR · On-site

Design and develop scalable data pipelines, data models, and reporting solutions. * Build and optimize ETL processes for efficient data ingestion, transformation, and storage. * Develop, test, and ...

Cynet Systems

Data Engineer - Snowflake / AWS

Portland, OR · On-site

$121K - $145K/yr

Strong hands-on experience with Snowflake (data modeling, performance tuning, cost optimization). * Solid expertise in AWS (data engineering services and integrations). * Experience with enterprise ...

Rootshell Inc

Data Engineer

Portland, OR · On-site

$121K - $145K/yr

Experience with data modeling in different data stores and the Hadoop ecosystem. Experience working with data stores such as Snowflake, DynamoDB, etc. Experience working with Big Data frameworks such ...

E-Solutions

Data Engineer - Snowflake / AWS

Portland, OR · On-site

$121K - $145K/yr

Strong hands-on experience with Snowflake (data modeling, performance tuning, cost optimization). * Solid expertise in AWS (data engineering services and integrations). * Experience with enterprise ...

WIZELINE

Senior Data Architect

Beaverton, OR

$70 - $93.75/hr

Partner with information architecture to build logical/canonical, dimensional and physical data models for Databricks, Snowflake and Hive bigdata implementations to support data, BI Analytics and AI ...

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Data Modeling information

See Oregon salary details

$10

$62

$87

How much do data modeling jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data modeling in Oregon is $62.08, according to ZipRecruiter salary data. Most workers in this role earn between $55.67 and $72.16 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 Oregon? For Data Modeling jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Modeling jobs in Oregon look for? The top searched job categories for Data Modeling jobs in Oregon are:
What cities in Oregon are hiring for Data Modeling jobs? Cities in Oregon with the most Data Modeling job openings:
Data Modeling jobs near you
Infographic showing various Data Modeling job openings in Oregon as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $129,119 per year, or $62.1 per hour.
Data Modeler

Data Modeler

Aptive

On-site

$54.75 - $71/hr

Full-time

Posted 18 days ago

Aptive Environmental rating

5.3

Company rating: 5.3 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

29th of 31 rated pest control companies

Job description

Job Summary

The Data Modeler will support the Veterans Health Administration (VHA) Integrated Veteran Care (IVC) Veteran Family Member Programs (VFMP) Modernization Portfolio by designing, developing, documenting, and maintaining enterprise data models, data architecture, and integration solutions supporting modernization, automation, reporting, and Electronic Data Interchange (EDI) initiatives.

This role will support modernization efforts focused on claims processing, eligibility, appeals, intake automation, business rule management, reporting, data migration, and system integration. The Data Modeler will work closely with project managers, business analysts, developers, architects, and government stakeholders to ensure scalable, secure, and efficient data solutions aligned with VFMP operational objectives.

The position supports enterprise modernization initiatives that improve operational efficiency, automate workflows, enhance reporting capabilities, and improve the Veteran and beneficiary experience.

Primary Responsibilities

Data Modeling & Architecture

  • Design conceptual, logical, and physical data models supporting VFMP modernization initiatives.
  • Develop and maintain enterprise data architecture diagrams and system context diagrams.
  • Create and document data dictionaries, metadata standards, and data lineage documentation.
  • Analyze existing legacy systems and support migration to modernized systems of record.
  • Support integrated data layer initiatives for reporting and business rule decisioning.

Data Integration & Migration

  • Support migration of provider, claims, eligibility, and operational data from legacy platforms into modernized environments.
  • Assist with integration between systems including:
    • Eligibility systems
    • Claims platforms
    • EDI platforms
    • Centralized data repositories
    • Workflow and automation systems
  • Develop data mapping specifications and transformation logic.
  • Coordinate with developers and analysts to ensure successful implementation of migration activities.

Reporting & Analytics Support

  • Support development of dashboards, reporting models, and visualization solutions.
  • Collaborate with business stakeholders to define reporting requirements and KPIs.
  • Ensure data structures support operational analytics and performance monitoring.
  • Assist in development of business rules supporting automation and inventory management.

Technical Documentation

  • Produce and maintain:
    • Data models
    • Data flow diagrams
    • Context diagrams
    • Technical specifications
    • System architecture documentation
    • Migration documentation
  • Support creation of Business Requirements Documents (BRDs) and technical requirements documentation.

Testing & Quality Assurance

  • Support User Acceptance Testing (UAT) and end-to-end testing activities.
  • Validate data integrity and migration accuracy.
  • Identify and resolve data quality issues.
  • Participate in defect tracking and issue resolution.
Minimum Qualifications
  • Minimum of 4 years of experience in data modeling, database design, or data architecture.
  • Bachelors Degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, Healthcare Informatics or related field. 
  • Experience designing logical and physical data models.
  • Experience supporting large-scale enterprise modernization or systems integration initiatives.
  • Experience with relational database management systems (RDBMS).
  • Experience with data migration and data integration projects.
  • Experience creating technical documentation and architecture diagrams.
Desired Qualifications
  • Experience supporting Federal healthcare programs.
  • Previous experience within the Department of Veterans Affairs (VA) or Veterans Health Administration (VHA).
  • Experience supporting healthcare claims, eligibility, or EDI environments.
  • Experience supporting modernization or automation initiatives.
  • Familiarity with X12 and/or NCPDP transaction standards.
About Aptive

Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation.

We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day.

Founded: 2012Employees: 300+ nationwide

EEO Statement

Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class.

Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.

Employment Type: FULL_TIME

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