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Data Modeling Jobs in Portland, OR (NOW HIRING)

Support the development and evaluation of AI capabilities within Databricks, including chatbot and generative AI solutions. * Assist with reporting, data modeling, and analytics projects that support ...

Support the development and evaluation of AI capabilities within Databricks, including chatbot and generative AI solutions. * Assist with reporting, data modeling, and analytics projects that support ...

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

This assignment will analyze, process and model data and interpret the results to develop data-driven solutions. This is a 2 year plus consultant position with high probability of long term and ...

Data Scientist

Vancouver, WA · On-site

$90 - $96/hr

This assignment will analyze, process and model data and interpret the results to develop data-driven solutions. This is a 2 year plus consultant position with high probability of long term and ...

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

This assignment will analyze, process and model data and interpret the results to develop data-driven solutions. This is a 2 year plus consultant position with high probability of long term and ...

Job Summary & Responsibilities We are looking for a highly skilled Data Analyst with deep experience in data modeling , Power BI , Microsoft Fabric , and Oracle ERP (R12 and/or Fusion) data ...

Data Scientist/Analyst

Vancouver, WA · On-site

$90K - $120K/yr

Quantitative Modeling: Architect data models, business forecasts, customer segmentation frameworks, and multi-variable scenario analyses to guide long-term corporate scaling. * Proactive Intelligence:

Develop data models, forecasts, segmentation analyses, and other quantitative analyses to support business decisions. * Proactively identify meaningful insights, risks, and opportunities rather than ...

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

The position works closely with the BI Team to maintain consistent data models, improve reporting performance, and support the organization's modern analytics platform. Responsibilities: * Designs ...

The position works closely with the BI Team to maintain consistent data models, improve reporting performance, and support the organization's modern analytics platform. Responsibilities: * Designs ...

The position works closely with the BI Team to maintain consistent data models, improve reporting performance, and support the organization's modern analytics platform. Responsibilities: * Designs ...

The position works closely with the BI Team to maintain consistent data models, improve reporting performance, and support the organization's modern analytics platform. Responsibilities: * Designs ...

Showing results 41-60

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.

Senior Data Platform Engineer / SDE

Cambia Health Solutions

Portland, OR • On-site

$101K - $134K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


Key responsibilities

  • Design, build, optimize, and own scalable enterprise data pipelines and platform capabilities in Snowflake.

  • Mentor Data Engineers, drive technical standards, and contribute to platform strategy.

  • Partner with cross-functional teams to deliver high-quality, observable data solutions.


Cambia Health Solutions rating

8.4

Company rating: 8.4 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

124th of 315 rated insurance


Job description

Senior Data Platform Engineer/SDE

Hybridrole(3days/weekin office)atour Burlington, Renton, Spokane, Vancouver, Portland, Medford, Salt Lake City, Boise, Lewiston, or Fargooffices.

Candidates mustresidewithin commutable distance of that location or be willing torelocate.

Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system.

Who We Are Looking For:

Every day, Cambia's Data & Analytics Engineering Team is living our mission to make health care easier and lives better.

Join our Data & Analytics Engineering team as a Senior Data Engineer, serving as the technical lead for a team of Data Engineers. You will design, build, optimize, and own scalable enterprise data pipelines and platform capabilities in Snowflake that power conventional and agentic analytics, purpose-built data products, and operational reporting. You will mentor engineers, drive technical standards, and contribute to platform strategy, positioning yourself for growth into Principal-level engineering and architecture roles or people leadership.

Your deep hands-on expertise, a consulting-oriented mindset, and proven ability to deliver measurable impact in complex environments, make an excellent fit for this role with clear growth opportunities.


If you're a motivated and experienced Senior Data Engineer looking to make a difference in the healthcare industry, apply for this exciting opportunity today!
What You Bring to Cambia:

Preferred Key Experience:

Experienced technical lead with a strong background in building and optimizing data pipelines, excellent SQL skills, and handson expertise with Snowflake, dbt, and modern ELT practices. Adept at breaking down work, mentoring Data Engineers, and delivering scalable, highquality data solutions in complex enterprise environments.

Qualifications and Certifications:

  • TheSenior Data Platform Engineerwould have at least 6+ years of relevant experience in Data Engineering or Data Platform Engineering, with senior or lead experience

  • College degree in Computer Sciences, Mathematics, Business Administration, or related fields.

  • A college degree may be substituted by sufficient years of experience in the health care industry.

  • Experience with a business area that is supported by this position is preferred (i.e., Provider Network and Contract Management, Digital Solutions, Pricing, Membership, Claims, etc.).

  • Equivalent combination of education and experience

Skills and Attributes (Not limited to):

  • Deep expertise with Snowflake (strongly preferred), SQL and SQL/Python stored procedures, dbt or other ETL tools, ELT/ETL design patterns, and orchestration (Airflow or similar).

  • Strong data modeling (dimensional, normalized, and denormalized), pipeline design, performance optimization, and integration/migration expertise.

  • Data Profiling: Must be able to identify unique and primary keys and determine cardinality, data type, precision, and scale, and skew.

  • Experience with DataOps, CI/CD, semantic layers, metadata management, observability, streaming, and AI/agentic enablement.

  • Understanding of data governance, security, compliance, and enterprise platform ownership.

  • Excellent communication and collaboration across teams (Product, QA, Analytics, Business).

  • Ability to mentor, establish best practices, and influence technical decisions; proactive problem-solving and innovation.

  • Ability to think big, envision the work from the entire scope, and work down to into the details.

Nice to Have:

  • Experience in healthcare or complex enterprise data environments.

  • DevOps/DataOps proficiency

  • Exposure to budgeting/cost management and cross-team initiatives.

What You Will Do at Cambia (Not limited to):

  • Lead and mentor Data Engineers; drive engineering standards and best practices.

  • Independently design, build, tune, and own scalable Snowflake ELT pipelines, data models (with Modeling team), and platform artifacts supporting analytics/operational workloads.

  • Optimize performance (query tuning, compute sizing, workload isolation, cost management).

  • Partner with analytics, product, governance, QA, and business teams to deliver high-quality, observable data solutions.

  • Contribute to platform strategy, risk assessments, and adoption of modern practices (DataOps, CI/CD, AI tools).

  • Ensure data quality, testing, documentation, and knowledge sharing.

  • Demonstrate technical leadership by breaking down complex work and delivering value in squad/model environments.

Pay ranges vary based on the candidate's work location. The expected hiring range depends on skills, experience, education, and training; relevant licensure / certifications; and performance history.

Senior Data Platform Engineer:

  • Oregon, Washington, Utah, and Idaho:The expected hiring range is $114,000 - $143,000, the full salary range is $114,000 - $186,000, and the bonus target is20%.

  • North Dakota:The expected hiring range is $101,000 - $134,000, and the full salary range is $101,000 - $167,000.

About Cambia


Working at Cambia means being part of a purpose-driven, award-winning culture built on trust and innovation anchored in our 100+ year history. Our caring and supportive colleagues are some of the best and brightest in the industry, innovating together toward sustainable, person-focused health care. Whether we're helping members, lending a hand to a colleague or volunteering in our communities, our compassion, empathy and team spirit always shine through.


Why Join the Cambia Team?


At Cambia, you can:

  • Work alongside diverse teams building cutting-edge solutions to transform health care.
  • Earn a competitive salary and enjoy generous benefits while doing work that changes lives.
  • Grow your career with a company committed to helping you succeed.
  • Give back to your community by participating in Cambia-supported outreach programs.
  • Connect with colleagues who share similar interests and backgrounds through our employee resource groups.

We believe a career at Cambia is more than just a paycheck - and your compensation should be too. Our compensation package includes competitive base pay as well as a market-leading 401(k) with a significant company match, bonus opportunities and more.


In exchange for helping members live healthy lives, we offer benefits that empower you to do the same. Just a few highlights include:


  • Medical, dental and vision coverage for employees and their eligible family members, including mental health benefits.
  • Annual employer contribution to a health savings account.
  • Generous paid time off varying by role and tenure in addition to 10 company-paid holidays.
  • Market-leading retirement plan including a company match on employee 401(k) contributions, with a potential discretionary contribution based on company performance (no vesting period).
  • Up to 12 weeks of paid parental time off (eligibility requires 12 months of continuous service with Cambia immediately preceding leave).
  • Award-winning wellness programs that reward you for participation.
  • Employee Assistance Fund for those in need.
  • Commute and parking benefits.

Learn more about our benefits.


We are happy to offer work from home options for most of our roles. To take advantage of this flexible option, we require employees to have a wired internet connection that is not satellite or cellular and internet service with a minimum upload speed of 5Mb and a minimum download speed of 10 Mb.


As part of our security requirements, new hires will need access to a personal mobile device to set up Multi-Factor Authentication (MFA) upon joining the company. MFA is an important layer of protection for accessing Cambia systems and is required for all employees.

We are an Equal Opportunity employer dedicated to a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required.

If you need accommodation for any part of the application process because of a medical condition or disability, please email CambiaCareers@cambiahealth.com. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy.


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