1

Senior Data Modeler Jobs in Oregon (NOW HIRING)

Sr Data Engineer

OR · On-site +1

$110K - $204K/yr

The Senior Data Engineer is responsible for writing data workflows according to design ... This role designs and codes features, automated tests, scripts, and data models while utilizing ...

Sr Data Engineer

OR · On-site +1

$110K - $204K/yr

The Senior Data Engineer is responsible for writing data workflows according to design ... This role designs and codes features, automated tests, scripts, and data models while utilizing ...

Our client, a rapidly growing wealth management and financial services firm, is seeking a Senior ... Build scalable data models and reporting products that deliver actionable insights for key ...

We are looking for a highly skilled Senior Data Engineering Manager to lead one of our data ... Production datasets and analytical models used in research workflows, applications, internal ...

Hiring multiple Senior Data Team Leads across our FSP (Functional Service Provider) and Traditional (Sponsor-Agnostic) delivery models. Apply now and have your resume considered for Senior Data Team ...

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Provide quality and performant data modeling and visualizations solutions to our cross functional ... Project Lead, Senior Software Engineer, Software Engineer, etc.). * 2 years of experience ...

$160K/yr

Implement data engineering best practices across data modeling, quality, lineage, metadata management, documentation, and operational monitoring. Develop automated data quality validation ...

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team ... Work on feature pipelines and model-ready data to support ML engineers * Promote high standards in ...

Sr Data Analyst

$70K - $105K/yr

Opportunity: Sr Data Analyst Salary Range: $70,000 - $105,000 Division: Digital Services Recruiter ... modeling tools for internal business areas. • Leads special projects requiring commensurate ...

As a Senior Data Product Analyst, you will play a pivotal role in making that vision a reality. You ... Translate customer questions into scalable methodologies, data models, and product capabilities.

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 ...

Senior Data Product Manager

OR · On-site +1

$126K - $166K/yr

As a Senior Data Product Manager, you will build and refine AcuityMD's data assets, products, model and platform. You'll play a critical role in identifying market opportunities, crafting compelling ...

Design and implement enterprise Data Governance operating models, including governance frameworks ... senior stakeholders. * Experience supporting business development efforts, including proposal ...

Showing results 21-40

Senior Data Modeler information

See Oregon salary details

$37

$71

$89

How much do senior data modeler jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for senior data modeler in Oregon is $71.48, according to ZipRecruiter salary data. Most workers in this role earn between $63.27 and $81.06 per hour, depending on experience, location, and employer.

What does a senior data modeler do?

A Senior Data Modeler is responsible for designing, implementing, and managing data models that define how data is stored, organized, and accessed within an organization. They work closely with stakeholders to understand business requirements and translate them into efficient data structures, often using tools like ER diagrams and database modeling software. Senior Data Modelers ensure data integrity, optimize data flows, and support data governance initiatives. They may also mentor junior data modelers and collaborate with database administrators, data architects, and developers to deliver effective data solutions.

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

To thrive as a Senior Data Modeler, you need deep expertise in database design, data modeling techniques, and strong proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with data modeling tools such as ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, and knowledge of database systems like Oracle or SQL Server, are typically required. Excellent analytical thinking, attention to detail, and strong collaboration and communication skills help you work effectively with cross-functional teams. These competencies ensure accurate, scalable, and efficient data structures that support business intelligence and decision-making across the organization.

How does a senior data modeler typically collaborate with other departments during large-scale projects?

A Senior Data Modeler often works closely with business analysts, data architects, and software engineers to ensure that data models align with both technical requirements and business objectives. Collaboration typically involves gathering requirements, translating business needs into data structures, and participating in design reviews. Senior Data Modelers also play a key role in facilitating communication between IT and non-technical stakeholders to ensure data integrity and usability across systems. Effective teamwork and clear documentation are essential to navigate the complexities of large-scale data initiatives.

What is the difference between Senior Data Modeler vs Data Architect?

AspectSenior Data ModelerData Architect
Required CredentialsBachelor's or Master's in Computer Science, Data Management, or related field; certifications like CDMPBachelor's or Master's in Computer Science, Information Systems; certifications like TOGAF, CDMP
Work EnvironmentData teams, database development, data analysis projectsIT departments, enterprise data strategy, system design
Employer & Industry UsageFinance, healthcare, tech companies focusing on data modelingLarge enterprises, consulting firms, organizations with complex data infrastructure
Common Search & ComparisonOften compared for technical data modeling skillsBroader scope including data infrastructure and architecture planning

While both roles require strong data management skills and similar certifications, Senior Data Modelers focus primarily on designing and optimizing data models, whereas Data Architects develop comprehensive data strategies and oversee overall data infrastructure. The roles often collaborate but differ in scope and responsibilities.

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

The most popular types of Data Modeler jobs in Oregon are:

What are popular job titles related to Senior Data Modeler jobs in Oregon?

For Senior Data Modeler jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Senior Data Modeler jobs?

Cities in Oregon with the most Senior Data Modeler job openings:

What are popular job titles related to Senior Data Modeler jobs in OR?

For Senior Data Modeler jobs in OR, the most frequently searched job titles are:

Infographic showing various Senior Data Modeler job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $148,676 per year, or $71.5 per hour.

Senior Data Scientist - Forecasting

Tiger Analytics Inc.

Portland, OR

Full-time

Re-posted 3 days ago


Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a Senior Data Scientist - Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations.

You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.

Key Responsibilities

  • Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
  • Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
  • Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
  • Perform large-scale data extraction, transformation, and analysis using SQL
  • Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.
  • Translate business problems into analytical solutions.
  • Present model insights and recommendations to senior client stakeholders.
  • Lead workshops and forecasting strategy discussions with clients.
  • Implement and operationalize models in cloud environments
  • Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions

Requirements

    • 10+ years of experience in applied data science or advanced analytics
    • 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting
    • Strong domain experience in CPG, FMCG, retail, or similar industries
    • Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels)
    • Strong SQL skills for large-scale data processing
    • Proven experience deploying models in cloud environments (Azure preferred)

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.