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Data Modeling Jobs in Oregon (NOW HIRING)

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 ...

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 ...

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 ...

$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 ...

Lead Data Engineer- Databricks

Beaverton, OR ยท On-site

$119K - $143K/yr

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 ...

Sr. Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

These models are informed by data-driven analysis of business performance and improvement opportunities. You will also build the engineering around those models: data pipeline architecture, data ...

Sr. Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

These models are informed by data-driven analysis of business performance and improvement opportunities. You will also build the engineering around those models: data pipeline architecture, data ...

Sr. Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

These models are informed by data-driven analysis of business performance and improvement opportunities. You will also build the engineering around those models: data pipeline architecture, data ...

Sr. Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

These models are informed by data-driven analysis of business performance and improvement opportunities. You will also build the engineering around those models: data pipeline architecture, data ...

Data Engineer

OR ยท 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 ...

Senior Data Engineer

OR ยท On-site +1

$105K - $143K/yr

Data Modeling: Build and maintain analytics schemas (including Star Schemas) that abstract complex logic into user-friendly datasets. * End-to-End Ownership: Lead projects from inception to ...

$63.75 - $82/hr

Define and improve data modeling strategies, ingestion processes, transformations, and orchestration workflows * Collaborate with software engineers, AI engineers, product teams, and business ...

Lead Data Analyst

OR ยท On-site +1

$160K - $200K/yr

Work closely with analytics engineers on data modeling. You'll shape what gets built in the warehouse layer, not just consume it. * Turn recurring analytical needs into durable models instead of one ...

Data Engineer (L5) - Ads

OR ยท On-site +1

$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 ...

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 ...

Showing results 21-40

Data Modeling information

See Oregon salary details

$10

$62

$87

How much do data modeling jobs pay per hour?

As of Sep 2, 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 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.

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 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.

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. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures for databases and systems. It requires skills in database tools, understanding of business requirements, and often benefits from certifications like CBIP or data modeling tools such as ERwin or PowerDesigner. The role offers opportunities in various industries with a focus on data quality and efficiency.

Is data modeling hard to learn?

Data modeling can be challenging for beginners due to the need to understand database structures, relationships, and normalization concepts. However, with consistent study, practice, and familiarity with tools like ER diagrams and SQL, many learners can develop proficiency over time.

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 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 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% 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 โ€ข On-site

$59 - $78.25/hr

Full-time

Re-posted 4 days ago


Job description

Job Title: Senior Software Engineer- Big Data amp; 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 amp; 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 amp; Search Performance: Deeply tune pipeline throughput, data warehouse performance, and search indexing โ€” 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 amp; 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 amp; 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 amp; 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 amp; 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: Bachelorโ€™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.