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Data Modeler Jobs in Oregon (NOW HIRING)

ConnectWise

IT Enterprise Data Architect

OR · On-site +1

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 ...

Cordance

Data Architect

OR · On-site +1

$63.75 - $82/hr

Define a shared enterprise data model, canonical business definitions, master-data strategy, and system-of-record ownership for core entities such as customer, item, store, employee, transaction ...

Under Armour

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 ...

Clarity Recruiting

$200K/yr

Design, build, and maintain scalable data pipelines, workflows, data models, and enterprise data architecture. Establish engineering best practices for ETL/ELT development, data quality, lineage ...

Hoffman Construction

Data Scientist 1

Lake Oswego, OR

$90K - $110K/yr

Participate in the creation of semantic models in MS Fabric and Power BI for use in AI efforts. Project Data Analytics: * Participate in the creation and continuous enhancement of reports and ...

Hoffman-Construction

Data Scientist 1

Portland, OR · On-site

$85 - $120/hr

The Data Scientist will be expected to support Hoffman's project teams and relocation may be ... Build and evaluate basic predictive models using machine learning algorithms. Create visualizations ...

Hoffman Equipment Yard

Data Scientist 1

Portland, OR · On-site

$90K - $110K/yr

Participate in the creation of semantic models in MS Fabric and Power BI for use in AI efforts. Project Data Analytics: * Participate in the creation and continuous enhancement of reports and ...

Hoffman Construction Company

Data Scientist 1

Portland, OR · On-site

$70 - $100/hr

The Data Scientist will be expected to support Hoffman's project teams and relocation may be ... Build and evaluate basic predictive models using machine learning algorithms. Create visualizations ...

Hoffman Construction

Data Scientist 1

Lake Oswego, OR · On-site

Participate in the creation of semantic models in MS Fabric and Power BI for use in AI efforts. Project Data Analytics: * Participate in the creation and continuous enhancement of reports and ...

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

You'll work on modern data platforms and gain experience building solutions that support both model training and production inference. Your Area of Focus * Design, build, and maintain scalable data ...

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Apply data modeling, data warehousing, and performance optimization best practices. * Implement data quality, scalability, reliability, and performance improvements across data platforms. * Use Git ...

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Apply data modeling, data warehousing, and performance optimization best practices. * Implement data quality, scalability, reliability, and performance improvements across data platforms. * Use Git ...

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Apply data modeling, data warehousing, and performance optimization best practices. * Implement data quality, scalability, reliability, and performance improvements across data platforms. * Use Git ...

Pwc

Data Engineer - Senior Manager

Portland, OR · On-site

$124K - $280K/yr

Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. As part of the Data and ...

Phaxis

Sr. Data Engineer

Beaverton, OR · On-site

$40 - $45/hr

Strong understanding of data modeling, data warehousing, and performance optimization. * Experience with Git, CI/CD, and DevOps best practices. * Knowledge of Delta Live Tables, Unity Catalog, and ...

Montefiore

Senior Data Architect

Odell, OR · 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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All JobsData Modeler JobsData Modeler Jobs in Oregon

Data Modeler information

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$10

$62

$87

How much do data modeler jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data modeler 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 is a data modeler?

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 does a data modeler do?

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?

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.

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 specialized skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.
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Data Modeler jobs near you
Infographic showing various Data Modeler job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,119 per year, or $62.1 per hour.

Senior Software Engineer- Big Data & MCP, Data Foundations

RevSpring, Inc.

Portland, OR • On-site

$121K - $145K/yr

Full-time

Re-posted 9 days ago

Job description

Job Title: Senior Software Engineer- Big Data & MCP, Data Foundations
Job Summary:
Essential Functions:
  • Collaborate and Innovate: Partner with product managers, data engineers, and business leaders to translate complex product and data requirements into scalable, reliable data pipelines and the search experiences they power.
  • Architect Data Pipelines: Design, build, and optimize large-scale distributed batch and streaming pipelines (using Apache Airflow, Apache Beam/Dataflow, and DBTon BigQuery) to ingest, model, and transform high-volume healthcare data into clean, well-tested, query-ready datasets and search indices.
  • Build Data Models & Backend Services: Develop resilient Python services and DBT models that power data delivery and self-service analytics, including Model Context Protocol (MCP) servers that expose curated data and tooling to downstream and AI consumers, and integrate with external REST/SOAP APIs and third-party data sources.
  • Optimize Data & Search Performance: Deeply tune pipeline throughput, data warehouse performance, and search indexing - optimizing BigQuery cost and query performance and Elasticsearch index design to ensure data freshness, relevance, and scalability across high-volume datasets.
  • Drive Engineering Excellence: Write clean, maintainable, well-tested code and lead by example through rigorous code reviews, architectural and data-modeling design discussions, and mentoring, driving a culture of high-quality software and trustworthy data.
  • Pioneer New Technologies: Stay at the forefront of modern data engineering, the analytics-engineering ecosystem (e.g., DBT, BigQuery), and information retrieval, proactively applying these advancements to strengthen our data platform and the products it powers.

Minimum Requirements:
Specific Job Skills:
  • Data Engineering: Proven experience designing and orchestrating large-scale ETL/ELT pipelines using Apache Beam/Google Cloud Dataflow (or similar), and DBT, built on modern cloud data warehouses. BigQuery experience is a plus.
  • Databases & SQL: 4+ years of experience working with relational databases and analytical data warehouses, with deep, advanced SQL skills and solid data-modeling fundamentals (e.g., dimensional and normalized modeling).
  • Search & Indexing: Working experience with search indexing and Elasticsearch, including index management, mappings, and building and maintaining search indices from pipeline output. Familiarity with hybrid (BM25 + semantic/vector) search is a plus.
  • Backend & Data Services: Experience building scalable Python services and high-performance data APIs, including developing Model Context Protocol (MCP) servers that expose data and tooling to downstream and AI consumers.
  • Infrastructure & DevOps: Strong understanding of containerization (Docker), CI/CD methodologies (e.g., GitHub Actions), Git, Infrastructure as Code (e.g., Terraform/Pulumi), and managing services within cloud platforms (3+ years of GCP experience preferred).
  • Familiarity with healthcare data standards (e.g., NPPES/NPI registries, NUCC Provider Taxonomy, machine-readable files (MRFs) for cost transparency, and FHIR).
  • Experience with data quality and pipeline testing frameworks (e.g., dbt tests, Great Expectations) and streaming/event ingestion (e.g., Pub/Sub, Kafka).
  • Experience integrating graph-based data and healthcare taxonomy ontologies to enrich datasets and search query context.
  • Experience with observability and logging platforms (e.g., DataDog) for monitoring pipeline health and data freshness.

Education: Bachelor's Degree
Experience: 5+ years of professional experience with Python, with strong software-engineering fundamentals (testing, code review, design). 3+ years experience with Java or another JVM language is also high desired, particularly for Beam/Dataflow.
Supervision: N/A
Certifications: N/A
Language Skills:
Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Physical Capabilities: Standard categories
The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.

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