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Data Modeling Jobs in Oregon (NOW HIRING)

$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 ...

OR

$67.25 - $90/hr

Design canonical data models, semantic models, dimensional models, Data Vault 2.0 models, and normalized data models to support operational and analytical workloads. * Establish enterprise data ...

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 ...

Develop and maintain enterprise data models, business rules, metadata, and documentation supporting Army logistics information requirements. * Support data governance activities by implementing ...

Develop and maintain enterprise data models, business rules, metadata, and documentation supporting Army logistics information requirements. * Support data governance activities by implementing ...

This role establishes enterprise data models, canonical and semantic data layers, data classification standards, and field-level mapping frameworks that enable reliable business operations, analytics ...

Data Modeling & Information Architecture * Lead conceptual, logical, and physical enterprise data modeling. * Define enterprise standards for dimensional modeling, Data Vault 2.0, semantic layer ...

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 ...

OR · On-site

$114K - $137K/yr

You will be responsible for the architecture, design, and implementation of secure, scalable, high-performance ETL \ ELT data pipelines and Enterprise data models using Snowflake, helping power ...

Sr. Data Analytics Engineer

OR · On-site

$107K - $128K/yr

Provide quality and performant data modeling and visualizations solutions to our cross functional business units which represent the mantra, "Business First; Technology Second." * As part of a ...

Data Engineer

Eugene, OR · On-site

$115K - $138K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Provide quality and performant data modeling and visualizations solutions to our cross functional business units which represent the mantra, "Business First; Technology Second." * As part of a ...

Data Engineer

OR · On-site

$35 - $40/hr

Develop and maintain high-quality data models for reporting, analytics, and AI. * Ingest, transform, validate, and publish data from multiple enterprise source systems. * Collaborate with product ...

OR · On-site

Strong understanding of cloud data warehouse architecture, data modeling, and data integration. * Experience troubleshooting Snowflake errors, performance issues, data-loading failures, and access ...

Data Engineer

Salem, OR · On-site

$115K - $138K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

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Showing results 1-20

Data Modeling information

See Oregon salary details

$10

$62

$87

How much do data modeling jobs pay per hour?

As of Aug 12, 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 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 cities in Oregon are hiring for Data Modeling jobs? Cities in Oregon with the most Data Modeling job openings:
Infographic showing various Data Modeling job openings in Oregon as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $129,119 per year, or $62.1 per hour.

$54.75 - $71/hr

Full-time

Re-posted 22 days ago


Aptive Environmental rating

5.6

Company rating: 5.6 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

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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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