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Senior Modeling Jobs in Oregon (NOW HIRING)

Senior Data Architect

OR · On-site +1

$67.25 - $90/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Summary The Senior Data Architect is a senior technical leader responsible for defining ... Design canonical data models, semantic models, dimensional models, Data Vault 2.0 models, and ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Build and maintain machine learning models and AI services used in production environments * Design ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Build and maintain machine learning models and AI services used in production environments * Design ...

Senior VDC Engineer

Central Point, OR · On-site

$106K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Position Overview We are seeking a highly skilled Senior VDC Engineer to support digital ... Key Responsibilities Model Coordination & BIM Execution * Lead project VDC/BIM coordination ...

Senior Engineering Geologist

Portland, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A Senior Engineering Geologist within QISG is involved in a variety of geo-structuralengineering ... Take responsible charge of geologic hazard modeling for geotechnical design, including seismic ...

Senior VDC Engineer

Central Point, OR · Hybrid

$106K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Position Overview We are seeking a highly skilled Senior VDC Engineer to support digital ... Key Responsibilities Model Coordination & BIM Execution * Lead project VDC/BIM coordination ...

Senior VDC Engineer

Central Point, OR · Hybrid

$106K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Position Overview We are seeking a highly skilled Senior VDC Engineer to support digital ... Key Responsibilities Model Coordination & BIM Execution * Lead project VDC/BIM coordination ...

Senior Financial Analyst

OR · On-site +1

$90K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You'll Do As Senior Financial Analyst with Imagine Pediatrics, you will sit at the ... Owning the bottoms-up operational and financial forecast model, maintaining it as a living tool ...

Senior Manager, Footwear

OR · On-site +1

$151K - $152K/yr

Senior Sourcing Manager, Americas (Footwear and Accessories) We are seeking a Senior Sourcing ... Pitching Quince's business model to key manufacturing partners. * Conducting cost analyses for core ...

Showing results 21-40

Senior Modeling information

See Oregon salary details

$26.4K

$84.9K

$172.9K

How much do senior modeling jobs pay per year?

As of Aug 16, 2026, the average yearly pay for senior modeling in Oregon is $84,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,900.00 and $108,900.00 per year, depending on experience, location, and employer.

What are some common challenges senior modelers face when working on complex projects, and how can they be addressed?

Senior Modeling professionals often encounter challenges such as integrating large and diverse datasets, ensuring model accuracy, and effectively communicating technical findings to non-technical stakeholders. Addressing these challenges requires strong collaboration with data engineers, subject matter experts, and decision-makers, as well as a commitment to continuous learning and validation of models. Utilizing robust model validation techniques, staying updated on industry best practices, and fostering open communication within cross-functional teams can help overcome these hurdles and drive project success.

What is the difference between Senior Modeling vs Data Analyst?

AspectSenior ModelingData Analyst
Required CredentialsBachelor's or Master's in Mathematics, Statistics, or related field; experience with modeling softwareBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentFinancial institutions, consulting firms, or tech companies focusing on predictive modelsBusiness, marketing, or operations teams analyzing data sets
Employer & Industry UsageUsed in finance, insurance, and tech for predictive modelingCommon across industries for data interpretation and reporting

Senior Modeling professionals focus on developing complex predictive models and algorithms, often requiring advanced quantitative skills. Data Analysts interpret data, generate reports, and support decision-making. While both roles work with data, Senior Modeling emphasizes model creation and validation, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as a senior modeler?

To thrive as a Senior Modeler, you need advanced expertise in quantitative analysis, statistical modeling, and a relevant degree in mathematics, statistics, finance, or a related field. Mastery of tools such as Python, R, SAS, and familiarity with data visualization and modeling software are typically required, along with certifications like FRM or CFA being advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are crucial for developing accurate models, interpreting complex data, and providing actionable insights to guide business or research decisions.

What is a senior modeler?

Senior Modeling professionals are experts who create, manage, and analyze complex mathematical, statistical, or computational models to solve business or scientific problems. They often work in industries like finance, engineering, data science, and environmental science, using advanced modeling techniques to forecast outcomes, optimize processes, or simulate scenarios. These professionals typically have extensive experience and may also lead teams, mentor junior staff, and contribute to strategy development within their organizations.

What are the most commonly searched types of Modeling jobs in Oregon?

The most popular types of Modeling jobs in Oregon are:

What cities in Oregon are hiring for Senior Modeling jobs?

Cities in Oregon with the most Senior Modeling job openings:

Infographic showing various Senior Modeling job openings in Oregon as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $84,886 per year, or $40.8 per hour.

Senior Data Architect

Amerilife Group, LLC

OR • On-site, Remote

$67.25 - $90/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


AmeriLife rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

90th of 308 rated insurance


Job description

Our Company

Explore how you can contribute at AmeriLife.

For over 50 years, AmeriLife has been a leader in the development, marketing and distribution of annuity, life and health insurance solutions for those planning for and living in retirement.

Associates get satisfaction from knowing they provide agents, marketers and carrier partners the support needed to succeed in a rapidly evolving industry.

Job Summary

The Senior Data Architect is a senior technical leader responsible for defining, designing, and governing AmeriLife's enterprise data architecture across modern cloud platforms. This role leads the design of scalable, secure, and high-performing data platforms, enterprise data models, semantic models, and data products that enable analytics, AI, governance, regulatory reporting, and enterprise decision making.
The ideal candidate is a highly hands-on architect with deep expertise in Databricks, enterprise data modeling, advanced SQL, cloud data platforms, Data Vault 2.0, metadata management, and enterprise architecture. This individual partners closely with engineering, analytics, governance, and business teams while actively designing and implementing enterprise-scale data solutions.

Job Description

Key Responsibilities

  • Lead the architecture and design of enterprise data platforms, enterprise data products, and modern lakehouse solutions.
  • Define and maintain enterprise conceptual, logical, and physical data models across business domains.
  • 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 modeling standards, naming conventions, modeling best practices, and architecture governance.
  • Design scalable data solutions using Databricks Lakehouse, Delta Lake, Unity Catalog, and modern cloud technologies.
  • Develop and optimize complex SQL solutions for large-scale analytical workloads, data transformations, data quality validation, and performance optimization.
  • Partner with Data Engineering teams to ensure architecture standards and enterprise data models are consistently implemented.
  • Lead architecture reviews, solution design sessions, and technical governance across enterprise initiatives.
  • Design metadata-driven frameworks, reusable architecture patterns, and standardized data pipelines.
  • Partner with Data Governance teams on metadata, lineage, stewardship, business glossary, master data management (MDM), and data quality.
  • Optimize platform scalability, performance, reliability, security, and cost efficiency.
  • Mentor architects and engineers on enterprise architecture, data modeling, SQL optimization, and engineering best practices.
  • Evaluate emerging technologies and recommend future-state architecture aligned with enterprise strategy.

Required Qualifications

  • Bachelor's degree in computer science, Information Systems, Engineering, or a related field. Master's degree preferred.
  • 10+ years of experience in enterprise data architecture and enterprise data modeling.
  • 5+ years of experience designing cloud-native data platforms and modern data architectures.
  • Expert-level SQL skills, including query optimization, execution plan analysis, indexing strategies, window functions, stored procedures, complex joins, and performance tuning.
  • Strong hands-on experience with the Databricks Lakehouse Platform.
  • Deep expertise in conceptual, logical, physical, dimensional, semantic, and Data Vault 2.0 data modeling.
  • Extensive experience with enterprise data modeling tools such as Erwin Data Modeler, ER/Studio, Lucidchart, Visio, or equivalent platforms.
  • Strong experience with Apache Spark, Delta Lake, Unity Catalog, Python, and SQL.
  • Experience designing enterprise data warehouses, lakehouses, semantic layers, and enterprise data products.
  • Strong knowledge of Azure cloud services including Azure Data Lake Storage, Azure Data Factory, Microsoft Entra ID, Azure Functions, and related services.
  • Experience implementing CI/CD, Infrastructure as Code, Git, and DevOps best practices.
  • Strong understanding of metadata management, lineage, governance, master data management (MDM), reference data management, and data quality.
  • Excellent analytical, communication, and stakeholder management skills.

Preferred Qualifications

  • Microsoft Azure Solutions Architect Expert or equivalent certifications.
  • Databricks Certified Data Engineer Professional or equivalent certification.
  • Experience implementing enterprise metadata repositories and data catalogs.
  • Experience with Snowflake Secure Data Sharing.
  • Experience supporting AI, machine learning, and enterprise analytics platforms.
  • Experience within financial services, insurance, or other highly regulated industries.

Technical Skills

  • Enterprise Data Architecture
  • Enterprise Data Modeling
  • Conceptual, Logical, Physical Data Modeling
  • Data Vault 2.0
  • Dimensional Modeling
  • Semantic Layer Modeling
  • Canonical Data Modeling
  • Databricks Lakehouse
  • Delta Lake
  • Unity Catalog
  • Apache Spark
  • Expert SQL
  • SQL Performance Tuning
  • Python
  • Azure Data Lake Storage
  • Azure Data Factory
  • Microsoft Entra ID
  • Data Modeling Tools (Erwin, ER/Studio, Visio)
  • Metadata Management
  • Data Governance
  • Master Data Management (MDM)
  • Reference Data Management (RDM)
  • Data Quality
  • Performance Optimization

Leadership Competencies

  • Enterprise architecture leadership
  • Technical thought leadership
  • Data modeling expertise
  • Solution architecture
  • Technical mentoring
  • Cross-functional collaboration
  • Executive communication
  • Strategic problem solving
  • Innovation mindset

Compensation

  • Salary Range: $165,000to $170,000

  • This role may be eligible for a discretionary annual bonus.

  • Salary offers will varycommensuratewith experience, education, skills, and training

What AmeriLife Offers

A comprehensive benefits package that includes PTO, medical, dental, vision, retirement savings, disability insurance, and life insurance.

Equal Employment Opportunity Statement

We are an Equal Opportunity Employer and value diversity at all levels of the organization. All employment decisions are made without regard to race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity or expression, age, national origin, ancestry, disability, genetic information, marital status, veteran or military status, or any other protected characteristic under applicable federal, state, or local law. We are committed to providing an inclusive, equitable, and respectful workplace where all employees can thrive.

Americans with Disabilities Act (ADA) Statement

We are committed to full compliance with the Americans with Disabilities Act (ADA) and all applicable state and local disability laws. Reasonable accommodations are available to qualified applicants and employees with disabilities throughout the application and employment process. Requests for accommodation will be handled confidentially. If you require assistance or accommodation during the application process, please contact us at HR@AmeriLife.com.

Pay Transparency Statement

We are committed to pay transparency and equity, in accordance with applicable federal, state, and local laws. Compensation for this role will be determined based on skills, qualifications, experience, and market factors. Where required by law, the pay range for this position will be disclosed in the job posting or provided upon request. Additional compensation information, such as benefits, bonuses, and commissions, will be provided as required by law. We do not discriminate or retaliate against employees or applicants for inquiring about, discussing, or disclosing their pay or the pay of another employee or applicant, as protected under applicable law. Pay ranges are available upon request.

Background Screening Statement

Employment offers are contingent upon the successful completion of a background screening, which may include employment verification, education verification, criminal history check, and other job-related inquiries, as permitted by law. All screenings are conducted in accordance with applicable federal, state, and local laws, and information collected will be kept confidential. If any adverse decision is made based on the results, applicants will be notified and given an opportunity to respond.


What AmeriLife employees say

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Benefits

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