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Data Modeling Jobs in Portland, OR (NOW HIRING)

Data Engineer (MedInsight)

Portland, OR ยท On-site +1

$93K - $177K/yr

Design Data Models: Develop and maintain data marts, semantic models, and curated datasets that support analytics products, reporting, and business intelligence initiatives. * Ensure Data Quality ...

New

... 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.

Machine Learning Data Scientist

Lake Oswego, OR ยท On-site

$122K - $165K/yr

With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping ...

Data Architect

Hillsboro, OR ยท On-site

$69.50 - $89.25/hr

Experience with data modeling. * Driving change through data and data solutions. * Working experience in supply chain management * Track record of designing, implementing, and supporting large scale ...

Data Architect

Hillsboro, OR ยท On-site

$69.50 - $89.25/hr

Experience with data modeling. * Driving change through data and data solutions. * Working experience in supply chain management * Track record of designing, implementing, and supporting large scale ...

Senior Architect, Data Center Modeling

Hillsboro, OR ยท 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 ...

Data Architect

Portland, OR ยท On-site

$67.50 - $87/hr

Design end-to-end data architecture across ingestion, storage, modeling, and consumption layers * Own Microsoft Fabric platform architecture, configuration, and evolution * Establish standards for ...

Data Architect

Portland, OR

$67.50 - $87/hr

Design end-to-end data architecture across ingestion, storage, modeling, and consumption layers * Own Microsoft Fabric platform architecture, configuration, and evolution * Establish standards for ...

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 ...

Promote best practices in data visualization, modeling, and self-service analytics * Ensure compliance with enterprise policies and regulatory requirements * Manage budget, vendor relationships, and ...

Promote best practices in data visualization, modeling, and self-service analytics * Ensure compliance with enterprise policies and regulatory requirements * Manage budget, vendor relationships, and ...

Promote best practices in data visualization, modeling, and self-service analytics * Ensure compliance with enterprise policies and regulatory requirements * Manage budget, vendor relationships, and ...

AI and Data Science Engineer III

Portland, OR ยท On-site +1

$121K - $145K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... Build and operationalize large language model-enabled capabilities, including copilots, knowledge ...

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and ...

Solid understanding of data management principles, relational data structures, and data modeling, with the ability to apply best practices in both on-premises and modern SQL-based cloud data ...

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Data Modeling information

See Portland, OR salary details

$10

$62

$88

How much do data modeling jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data modeling in Portland, OR is $62.28, according to ZipRecruiter salary data. Most workers in this role earn between $55.87 and $72.40 per hour, depending on experience, location, and employer.

Will AI replace data modelers?

AI tools can automate certain aspects of data modeling, such as generating schemas or identifying patterns, but data modelers are essential for designing complex data structures, understanding business needs, and ensuring data quality. Human expertise remains critical for interpreting requirements and making strategic decisions, making the role of a data modeler unlikely to be fully replaced by AI in the near future.

What are the key skills and qualifications needed to thrive in the Data Modeling position, 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.

What is a Data Modeling job?

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.

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.

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 does a data modeler do?

A data modeler designs and creates data models to organize and structure data for databases and information systems. They analyze data requirements, develop schemas, and use tools like ER diagrams to ensure data consistency and efficiency. Strong knowledge of data management, modeling techniques, and database systems is essential for this role.

Is 40 too late for data science?

Data modeling is a key skill in data science, and individuals can enter the field at any age with relevant skills, experience, and continuous learning. Many professionals successfully transition into data science later in their careers by acquiring programming, statistical, and analytical tools, making age less of a barrier than skill development and practical experience.
What job categories do people searching Data Modeling jobs in Portland, OR look for? The top searched job categories for Data Modeling jobs in Portland, OR are:
Infographic showing various Data Modeling job openings in Portland, OR as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $129,552 per year, or $62.3 per hour.
Data Engineer (MedInsight)

Data Engineer (MedInsight)

Milliman

Portland, OR โ€ข On-site, Remote

$93K - $177K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future.ย ย 

Company Overview:ย 

Leading with our core values of Quality, Integrity, and Opportunity, MedInsight is one of the healthcare industryโ€™s most trusted solutions for healthcare intelligence.Our company purpose is to empower easy, data-driven decision-making on important healthcare questions. Through our products, education, and services, MedInsight is making an impact on healthcare by helping to drive better outcomes for patients while reducing waste. Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for healthcare cost and care management. MedInsight has been ranked #1 for Payer Quality Analytics by clients for the last three years in the Best in KLAS report.ย ย 

MedInsight is a subsidiary of Milliman; a global, employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics and business transformation as well as a range of other consulting and technology solutions.ย 

Position Summary:ย 

MedInsightโ€™s engineering team is building the next generation of healthcare data analytics. We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data solutions that power healthcare insights at scale. This role is ideal for someone with experience in modern data platforms, including Databricks, Spark, and cloud technologies, who is eager to take ownership of complex data engineering initiatives and contribute to the evolution of our data ecosystem.

Primary Responsibilities:ย 

  • Build & Enhance Pipelines: Design, develop, and maintain scalable data pipelines to ingest, transform, and enrich complex healthcare data using Databricks and Spark.
  • Optimize Data Workflows: Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance, scalability, reliability, and cost efficiency.
  • Design Data Models: Develop and maintain data marts, semantic models, and curated datasets that support analytics products, reporting, and business intelligence initiatives.
  • Ensure Data Quality & Reliability: Monitor pipeline health, troubleshoot production issues, implement data validation frameworks, and maintain high standards for data quality and governance.
  • Collaborate Across Teams: Partner with product, analytics, and engineering teams to understand business requirements and deliver scalable data solutions.
  • Drive Continuous Improvement: Contribute to architecture decisions, engineering standards, automation efforts, and best practices across the data platform.

Required Qualifications:

  • Bachelor's degree in computer science, engineering, information systems, or related field; or equivalent practical experience.
  • 3+ years of experience in data engineering, software engineering, or a related technical field.
  • Strong proficiency in SQL and Python, with experience developing and maintaining production-grade data pipelines.
  • Experience working with large-scale data processing frameworks such as Apache Spark.
  • Strong understanding of relational databases, data modeling, ETL/ELT patterns, and data engineering best practices.
  • Experience troubleshooting and optimizing data workflows for performance and reliability.
  • Strong problem-solving skills, ownership mindset, and ability to collaborate effectively across technical teams.

Preferred Skills:

  • Experience with Databricks in a production environment.
  • Experience building Power BI Semantic Models and supporting analytics use cases.
  • Experience working with Azure or AWS cloud platforms.
  • Familiarity with data orchestration and workflow management tools.
  • Familiarity with AI-assisted development tools, such as Claude Code.
  • Experience working with healthcare data domains such as claims, EMR/EHR, provider, or payer data.
  • Experience mentoring junior engineers or providing technical guidance on projects.

Location

This role can be remote within the U.S. The expected application deadline for this job is July 15, 2026.

Compensation

The overall salary range for this role is $93,700 - $177,675. For candidates residing in:

  • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $107,755 - $177,675.
  • All other locations the salary range is $93,700 - $154,500.

A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.

What makes this a great opportunity?ย 

  • Join an innovative, high growth company with a solid industry track record
  • Bring your expertise and ideas to directly impact and help build the next generation of MedInsight products and solutions
  • Enjoy significant visibility in your work and be recognized for your wins
  • Work for a company that values your wellbeing and professional growth, offering a flexible work environment, generous benefits package, and investment in the development of your career

Benefitsย 

We offer a comprehensive benefits package designed to support employeesโ€™ health, financial security,ย and well-being. Benefits include:

  • Medical, Dental and Vision โ€“ Coverage for employees, dependents, and domestic partners
  • Employee Assistance Program (EAP) โ€“ Confidential support for personal and work-related challenges
  • 401(k) Plan โ€“ Includes a company matching program and profit-sharing contributions.
  • Discretionary Bonus Program โ€“ Recognizing employee contributions
  • Flexible Spending Accounts (FSA) โ€“ Pre-tax savings for dependent care, transportation, and eligible medical expenses
  • Paid Time Off (PTO) โ€“ Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis
  • Holidays โ€“ A minimum of 10 paid holidays per year
  • Family Building Benefits โ€“ Includes adoption and fertility assistance
  • Paid Parental Leave โ€“ Up to 12 weeks of paid leave for employees who meet eligibility criteria
  • Life Insurance & AD&D โ€“ 100% of premiums covered by Milliman
  • Short-Term and Long-Term Disability โ€“ Fully paid by Milliman

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

#LI-SM1

#LI-REMOTE


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About Milliman

Sourced by ZipRecruiter

Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.

Industry

Business management consulting

Company size

1,001 - 5,000 Employees

Headquarters location

Seattle, WA, US

Year founded

1947