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Data Modeler Jobs in Remote, OR (NOW HIRING)

Oversee the development of data models, pipelines, and BI solutions on Snowflake, dbt, and AWS data services - ensuring everything is accurate, consistent, and built to last. * Drive self-service.

Monitor legislative and regulatory updates to identify potential impacts on forecasting models. * Quantify financial and operational effects of policy changes using data-driven methodologies.

Monitor legislative and regulatory updates to identify potential impacts on forecasting models. * Quantify financial and operational effects of policy changes using data-driven methodologies.

Solutions Engineer

Roseburg, OR · On-site +1

$100K - $118K/yr

Architect database schemas, data models, and backend services supporting application functionality, reporting systems, and complex member outcome calculations. * Develop, optimize, and maintain SQL ...

Architect database schemas, data models, and backend services supporting application functionality, reporting systems, and complex member outcome calculations. * Develop, optimize, and maintain SQL ...

Solutions Engineer

Roseburg, OR · Remote

$100K - $118K/yr

Architect database schemas, data models, and backend services supporting application functionality, reporting systems, and complex member outcome calculations. * Develop, optimize, and maintain SQL ...

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Data Modeler information

See Remote, OR salary details

$10

$58

$83

How much do data modeler jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for data modeler in Remote, OR is $58.65, according to ZipRecruiter salary data. Most workers in this role earn between $52.60 and $68.22 per hour, depending on experience, location, and employer.

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 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 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 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 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 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.
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Remote FP&A Manager - AI Trainer ($50-$60 per hour)

Remote FP&A Manager - AI Trainer ($50-$60 per hour)

Data Annotation

Coos Bay, OR • Remote

$50 - $60/hr

Other

Posted 2 days ago


Job description

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity.


We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.


We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might:

  • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets
  • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work
  • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t.
  • Share clear, structured feedback to help make each new version of the AI smarter and more reliable.


To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.


Benefits:

  • This is a full-time or part-time REMOTE position
  • You’ll be able to choose which projects you want to work on
  • You can work on your own schedule
  • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work


Responsibilities:

  • Give AI chatbots diverse and complex problems and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance


Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
  • A current, in progress, or completed Masters and/or PhD is is preferred but not required


Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.