1

Data Modeling Jobs in Portland, OR (NOW HIRING)

Sr. Data Engineer

Beaverton, OR · 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 · 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 · 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

$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 Modeling concepts Data Analyst Start Date ASAP Data Analyst Assignment Length 12 months plus Additional Information All your information will be kept confidential according to EEO guidelines.

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Help build and maintain reliable data models and ETL/ELT processes that support analytics, business intelligence, machine learning and AI. * Help establish and maintain data engineering standards ...

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Help build and maintain reliable data models and ETL/ELT processes that support analytics, business intelligence, machine learning and AI. * Help establish and maintain data engineering standards ...

Senior Architect, Data Center Modeling

Hillsboro, OR · On-site

$73.25 - $98/hr

We are seeking visionary computer architects to design and develop models for the next generation ... Expertise in data analysis and visualization, especially pandas and associated technologies * A ...

Senior Architect, Data Center Modeling

Hillsboro, OR · On-site

$73.25 - $98/hr

We are seeking visionary computer architects to design and develop models for the next generation ... An excitement and curiosity about the future of accelerated computing and AI Expertise in data ...

Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the ...

Experience with data modeling and data quality. * Experience with cloud computing and virtualization technologies (e.g., AWS, Azure, GCP). * Excellent problem-solving and analytical skills. * Ability ...

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 ...

Showing results 21-40

Data Modeling information

See Portland, OR salary details

$10

$62

$88

How much do data modeling jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data modeling in Portland, OR is $62.27, according to ZipRecruiter salary data. Most workers in this role earn between $55.82 and $72.40 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 Portland, OR?

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

Infographic showing various Data Modeling job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,512 per year, or $62.3 per hour.

Sr. Data Engineer

Concora Credit Inc.

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 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.

Employment Type: FULL_TIME

What Concora Credit employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom