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Data Warehouse Engineer Jobs in Oregon (NOW HIRING)

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Implements and monitors best in class security measures in our data warehouse and analytics ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Implements and monitors best in class security measures in our data warehouse and analytics ...

$100K - $136K/yr

The Senior Data Engineer will report directly to the Senior Vice President of Enterprise ... Design, develop, and maintain robust enterprise data warehouse solutions that support data science ...

Sr. Data Analytics Engineer

OR

$107K - $128K/yr

Leverage industry-leading integration and analytics tools to build a modern data warehouse that is ... Troubleshoot data anomalies with engineering teams. * Work on data transformation, using the ETL ...

Distributed Systems Engineer (L5) - Data Platform

OR · On-site +1

$114K - $137K/yr

It provides support for Spark to ETL data into the Exabytes-scale data warehouse and support large ... Additionally, we enhance developer productivity by providing opinionated and intuitive, secure ...

Data Engineer (L5) - Ads

OR · On-site +1

$380K - $610K/yr

Domains related to advertising, data privacy, GDPR Data warehousing, data modeling, and data transformation for both batch and streaming Hands on command programming languages such as python, scala ...

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Data Engineer - Databricks Location: Beaverton, OR - Hybrid (3 Days Onsite) Contract-to-Hire Job ... Apply data modeling, data warehousing, and performance optimization best practices. * Implement ...

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Data Engineer - Databricks Location: Beaverton, OR - Hybrid (3 Days Onsite) Contract-to-Hire Job ... Apply data modeling, data warehousing, and performance optimization best practices. * Implement ...

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Apply data modeling, data warehousing, and performance optimization best practices. * Implement ... Use Git, CI/CD, and DevOps practices to support automated and reliable data deployments.

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Showing results 1-20

Data Warehouse Engineer information

See Oregon salary details

$91.5K

$133.7K

$169.7K

How much do data warehouse engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data warehouse engineer in Oregon is $133,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $144,300.00 per year, depending on experience, location, and employer.

What is a data warehouse engineer?

Data Warehouse Engineers are IT professionals who design, build, and maintain systems used for storing and analyzing large volumes of data. They create data models, implement ETL (Extract, Transform, Load) processes, and ensure data integrity and optimized performance within the data warehouse environment. Their work enables organizations to efficiently store data from various sources and make it accessible for business intelligence and analytics. Data Warehouse Engineers often collaborate with data analysts, data scientists, and database administrators to support informed decision-making.

What are the key skills and qualifications needed to thrive as a data warehouse engineer?

To thrive as a Data Warehouse Engineer, you need expertise in database design, ETL processes, SQL, and data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like Microsoft SQL Server, Oracle, Informatica, and cloud platforms such as AWS Redshift or Google BigQuery, as well as certifications in these technologies, are valuable. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with stakeholders and address data challenges efficiently. These skills ensure the reliable integration, storage, and retrieval of high-quality data, which is critical for business intelligence and decision-making.

What are some common challenges data warehouse engineers face when integrating data from multiple sources?

Data Warehouse Engineers often encounter challenges such as data inconsistency, varying data formats, and incomplete or duplicate records when integrating information from diverse systems. Addressing these issues requires careful planning, robust ETL (Extract, Transform, Load) processes, and close collaboration with source system owners and data analysts. Additionally, ensuring data quality and maintaining up-to-date documentation are crucial to support efficient troubleshooting and future scalability.

What is the difference between Data Warehouse Engineer vs Data Analyst?

AspectData Warehouse EngineerData Analyst
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Google CloudBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentDesigning, building, maintaining data warehouses; working with ETL toolsAnalyzing data, creating reports, visualizations
Industry UsageUsed in organizations managing large-scale data infrastructureUsed across industries for business insights and decision-making

While both roles work with data, Data Warehouse Engineers focus on building and maintaining data storage systems, whereas Data Analysts interpret data to generate insights. They often collaborate but have distinct technical and functional responsibilities.

What does a data warehouse engineer do?

A data warehouse engineer designs, develops, and maintains data storage systems that aggregate and organize large volumes of data from various sources. They use tools like SQL, ETL processes, and data modeling to ensure data is accessible, accurate, and optimized for analysis. Their work supports business intelligence and decision-making processes.

What are popular job titles related to Data Warehouse Engineer jobs in Oregon?

For Data Warehouse Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Data Warehouse Engineer jobs in Oregon look for?

The top searched job categories for Data Warehouse Engineer jobs in Oregon are:

Infographic showing various Data Warehouse Engineer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $133,746 per year, or $64.3 per hour.

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Role : Data Warehouse Architect
Salem, OR - Remote/Relocation
Locals Required
Only W2 - NO C2C
Note: Remote work/Telecommuting arrangements will be subject to the Key Person's availability to engage with OHA/ODHS staff during standard business hours, Monday through Friday, 8:00 AM to 5:00 PM Pacific Standard Time, excluding recognized State of Oregon holidays and business closures. Key Person must also provide their own adequate office equipment and connectivity.
Qualifications:
  • Extensive experience in conceptual and dimensional data modeling, including star schema design for data warehouses.
  • Strong proficiency in data modeling tools such as Microsoft Visio and/or Erwin.
  • Demonstrated ability to create clear and accurate data documentation, including entity definitions, mappings, and data dictionaries.
  • Strong verbal and written communication skills, with the ability to facilitate discussions and document requirements across technical and non-technical audiences.
  • Experience working with data warehouse teams, including DBEs and DBAs, in enterprise environments.
  • Familiarity with human services programs or public sector data systems is preferred.
  • Knowledge of data governance, metadata, and ETL processes is a plus.

Required skills and experience:
  • Data Analysis (7-9 years of experience)
  • Data Modeling in conceptual data modeling for large, complex system (7-9 years of experience)
  • Data Warehousing (4-6 years of experience)
  • SQL (7-9 years of experience)
  • Microsoft Visio and/or Erwin data modeler (4-6 years of experience)
  • Strong understanding, experience in design dimensional models and data modeling methodologies
  • Excellent verbal and written communication
  • Demonstrated ability to work closely with:
  • Business analysts and program subject matter experts
  • Database Engineers
  • Database Administrators
  • External contractors and project team

In addition, the ideal candidate will have skills and experience in:
  • Experience working with public sector, human services, or healthcare data systems (e.g., APD, CAM/CALMS, MMIS)
  • Familiarity with data governance, data cataloging, and metadata management initiatives
  • Experience supporting data warehouse development using SQL Server, Snowflake, or similar platforms