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Senior Data Modeler Jobs in Portland, OR (NOW HIRING)

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... These models are informed by data-driven analysis of business performance and improvement ...

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... These models are informed by data-driven analysis of business performance and improvement ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... These models are informed by data-driven analysis of business performance and improvement ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do ... These models are informed by data-driven analysis of business performance and improvement ...

Senior Data Architect

Beaverton, OR

$70 - $93.75/hr

Senior Data Architect The Company Wizeline is a global digital services company helping mid-size to ... Analyze existing data stores and interfaces to support current state and future data models * Work ...

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

This assignment will analyze, process and model data and interpret the results to develop data ... Certified Analytics Professional (CAP) Data Science Council of America (DASCA) Senior Data ...

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Senior Data Modeler information

See Portland, OR salary details

$37

$71

$89

How much do senior data modeler jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for senior data modeler in Portland, OR is $71.70, according to ZipRecruiter salary data. Most workers in this role earn between $63.46 and $81.35 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 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.

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 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.

What are the most commonly searched types of Data Modeler jobs in Portland, OR?

The most popular types of Data Modeler jobs in Portland, OR are:

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

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

What job categories do people searching Senior Data Modeler jobs in Portland, OR look for?

The top searched job categories for Senior Data Modeler jobs in Portland, OR are:

What cities near Portland, OR are hiring for Senior Data Modeler jobs?

Cities near Portland, OR with the most Senior Data Modeler job openings:

Infographic showing various Senior Data Modeler job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $149,129 per year, or $71.7 per hour.

Sr. Data Engineer

Concora Credit Inc.

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Concora Credit rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Overview
As our Sr. Data Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day.
The impact you'll have at Concora Credit:
As a Sr. Data Engineer, your primary role will be to design and own the data models that support reporting and analysis across the organization - dimensional schemas, foundational data marts, and key data structures.
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 flows, data transformations, and clear documentation.
You'll join our Analytics Engineering team and partner with data owners and users to build, problem-solve, and optimize the data structures other teams rely on.
We hire people, not positions. That's because, at Concora Credit, we put people first, including our customers, partners, and Team Members. Concora Credit is guided by a single purpose: to help non-prime customers do more with credit. Today, we have helped millions of customers access credit. Our industry leadership, resilience, and willingness to adapt ensure we can help our partners responsibly say yes to millions more. As a company grounded in entrepreneurship, we're looking to expand our team and are looking for people who foster innovation, strive to make an impact, and want to Do More! We're an established company with over 20 years of experience, but now we're taking things to the next level. We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change.
Responsibilities
As our Sr. Data Engineer, you will:
  • Design and maintain foundational data marts and dimensional data models (star and snowflake schemas, fact and dimension tables) and that serve as a durable, reusable foundation for analytics and management reporting.
  • Define data grain, key structures, and slowly changing dimension (SCD) strategies so data marts stay accurate and reliable as the underlying business changes.
  • Create and manage large, complex data sets that meet business requirements and inform critical decision-making across the organization.
  • Create and maintain optimal data pipeline architecture, including optimal extraction, transformation, and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python), and other Microsoft Azure or open-source tools as required.
  • Document data models, transformation logic, and data lineage clearly enough that analysts and engineers outside the team can understand and trust the data without relying on the original author.
  • Analyze business performance, identify improvement opportunities, deliver recommendations, and manage implementation.
  • Perform all duties and responsibilities, leveraging strong quantitative, critical thinking, and communication skills.
  • Effectively communicate analytical approaches, relevant findings, and recommendations with supporting evidence throughout the organization.
  • Perform ad-hoc queries to support analysis.
  • Work with stakeholders to interpret, research, and resolve data-related technical issues and support their data infrastructure needs.

These duties must be performed with or without reasonable accommodation.
We know experience comes in many forms and that many skills are transferable. If your experience is close to what we're looking for, consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.
Qualifications
Requirements:
  • 3 to 5 years of experience in data engineering, with a strong focus on dimensional data modeling and building data marts or warehouses for analytics.
  • Demonstrated ability to design data structures for reuse and longevity (correct grain, key design, slowly changing dimensions), not just to answer a single reporting request.
  • Collaborate with analysts, data scientists, and business stakeholders in Risk, Operations and Finance to understand data needs and deliver reliable, reusable datasets
  • Strong ability to write and optimize complex SQL queries.
  • Design and develop scalable, efficient data pipelines using Azure Databricks
  • Fluent with Python scripting.
  • Optimize performance and cost efficiency across large-scale distributed data systems
  • Monitor, troubleshoot, and optimize existing pipelines and infrastructure to ensure reliability and scalability
  • Excellent problem solver, disciplined attention to detail, great communicator.
  • Strong quantitative skills and communication skills - verbal and written.
  • Self-starter with the ability to work independently or in a team.
  • Experience with Databricks is preferred
  • Bachelor's degree in Economics, Business, Mathematics, Computer Science, MIS or related field or equivalent experience.

What's In It For You:
  • Medical, Dental and Vision insurance for you and your family
  • Relax and recharge with Paid Time Off (PTO)
  • 6 company-observed paid holidays, plus 3 paid floating holidays
  • 401k (after 90 days) plus employer match up to 4%
  • Pet Insurance for your furry family members
  • Wellness perks including onsite fitness equipment at both locations, EAP, and access to the Headspace App
  • We invest in your future through Tuition Reimbursement
  • Save on taxes with Flexible Spending Accounts
  • Peace of mind with Life and AD&D Insurance
  • Protect yourself with company-paid Long-Term Disability and voluntary Short-Term Disability

Concora Credit provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Employment-based visa sponsorship is not available for this role.
Concora Credit is an equal opportunity employer (EEO).
Please see the Concora Credit Privacy Policy for more information on how Concora Credit processes your personal information during the recruitment process and, if applicable, based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact caprivacynotice@concoracredit.com.

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