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Data Modeling Jobs in Oregon (NOW HIRING)

Data Engineer

Portland, OR ยท On-site

$121K - $145K/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 ...

Create data models for advanced to complex subjects and provide guidance to junior architects. * Create advanced ETL specifications to meet business data needs. * Develop and maintain appropriate ...

Create data models for advanced to complex subjects and provide guidance to junior architects. * Create advanced ETL specifications to meet business data needs. * Develop and maintain appropriate ...

$105K - $143K/yr

SAP and manufacturing data modeling; curated outputs for reporting and AI/BI; and the transformation layer that supports forecasting, process automation, and internal applications. This role is the ...

Reporting into the Revenue Operations organization, this role combines hands-on SQL and data modeling with predictive segmentation, opportunity analysis, and dashboard development - and serves as a ...

OR

$114K - $137K/yr

Designs and builds scalable data extracts, integrations, transformations, and data models. * Ensures successful deployment and provisioning of data solutions across required environments. * Designs ...

OR ยท On-site

$150K/yr

Apply foundational data modeling and data ontology concepts to help organize mission data in ways that improve discoverability, usability, and accessibility * Support connections between disparate ...

Data Architect

Portland, OR ยท On-site +1

$67.50 - $87/hr

Lead the development of data models, ETL/ELT processes and data lake/warehouse structures to support analytics and AI. * Manage all Azure resources, and oversee digital transformation necessary ...

New

Sr. Data Analytics Engineer

OR ยท On-site +1

$125K - $165K/yr

Lead data model design, semantic layer definition, and scalable ELT architecture. * Design and deliver advanced data models, automation workflows, and decision-intelligence solutions. * Build high ...

Data Architect

OR ยท Remote

$153K - $170K/yr

Lead the design and guide the development of scalable models, data pipelines, and data warehouses / lakes using Azure Fabric. * Collaborate with product teams to understand data requirements and ...

OR ยท On-site

$380K - $610K/yr

Collaborate with stakeholders to understand needs, model tables using software engineering and data warehouse best practices, and develop large scale data processing solutions to ensure the timely ...

Develop and curate data models that identify repeat incidents, known error patterns, chronic alert noise and engineering toil consuming disproportionate remediation cycles. * Maintain data quality ...

OR ยท On-site

$114K - $137K/yr

Partner with product, bioinformatics, analytics, AI, software engineering, and infrastructure teams to define requirements, priorities, data contracts, and delivery models, and translate them into ...

Senior Data Architect

Odell, OR ยท On-site

$69 - $92.25/hr

Establish robust data governance, data management, enterprise data models across domains, data integration patterns, data quality, data privacy ensuring data consistency, accuracy, and integrity ...

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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 Jul 22, 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 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.

Will data modeling be replaced by AI?

Data modeling is a fundamental skill for data modelers, and while AI tools can assist in automating certain tasks like generating schemas or analyzing data patterns, they do not fully replace the need for human expertise in designing, validating, and understanding complex data structures. Data modelers will continue to play a critical role in ensuring data quality and integrity, often working alongside AI technologies. Proficiency in data modeling tools and concepts remains essential for the role.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.

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.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures using tools like ER diagrams and modeling languages. It requires strong analytical skills, knowledge of database systems, and often benefits from certifications such as Certified Data Management Professional (CDMP). The role offers opportunities in various industries with a typical work environment focused on data accuracy and efficiency.

What does a data modeler do?

A data modeler designs and creates data models to organize and structure data for databases and information systems. They analyze data requirements, develop schemas, and use tools like ER diagrams to ensure data consistency and efficiency. Strong knowledge of data management, modeling techniques, and database systems is essential for this role.
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 July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,119 per year, or $62.1 per hour.

Data Engineer

Bespoke Labs

Portland, OR โ€ข On-site

$121K - $145K/yr

Full-time

Posted 5 days ago


Job description

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 trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments โ€” and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience โ€” pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure โ€” observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines