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Data Warehouse Manager Jobs in Oregon (NOW HIRING)

Complete necessary Activity Reports for management * Monitor the flow of paperwork from Receiving ... data entry * Resolve discrepancies with shipping, invoices, packing slips, and receiver reports

Data Engineer

Beaverton, OR · On-site

$140 - $150/hr

Connect multiple enterprise systems (ERP, CRM, e‑commerce platforms, 3rd‑party APIs) with each other and to cloud data warehouse. * Build event‑driven data flows using AWS messaging and ...

Complete necessary Activity Reports for management * Monitor the flow of paperwork from Receiving ... data entry * Resolve discrepancies with shipping, invoices, packing slips, and receiver reports

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

... warehouse and associated data marts. * Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team, and IT. Teams to align with change management processes and ...

Warehouse Administrator

Portland, OR · On-site

$18.75 - $22/hr

... data on point, and our fulfillment operations running like clockwork. You'll put systems like ... Generate and manage pick tickets throughout the day using NetSuite, sorting and prioritizing ...

Showing results 21-40

Data Warehouse Manager information

See Oregon salary details

$26.4K

$133.1K

$180.8K

How much do data warehouse manager jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data warehouse manager in Oregon is $133,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,100.00 and $169,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Warehouse Manager, you need expertise in data warehousing concepts, database management, and business intelligence, typically backed by a degree in computer science or related field. Familiarity with tools like SQL, ETL platforms, data modeling software, and certifications such as AWS Certified Data Analytics or Microsoft Certified: Azure Data Engineer are highly valuable. Strong leadership, problem-solving, and communication skills help manage teams and collaborate with stakeholders effectively. These skills ensure efficient data storage, retrieval, and analysis, which are critical for informed business decision-making.

What are some common challenges faced by data warehouse managers, and how can they be addressed?

Data Warehouse Managers often face challenges such as integrating data from diverse sources, ensuring data quality and consistency, and keeping up with rapidly evolving technologies. These issues can be managed by implementing robust data governance practices, standardizing data models, and fostering strong collaboration between IT teams, business analysts, and stakeholders. Additionally, staying current with industry trends and investing in continuous team training can help address technology and skill gaps.

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

AspectData Warehouse ManagerData Analyst
Required CredentialsBachelor's in Computer Science, Data Management, or related field; certifications like CDMP or DAMABachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Data Analyst or Tableau
Work EnvironmentOversees data warehouse teams, manages data infrastructure, collaborates with IT and data engineersAnalyzes data sets, creates reports, visualizations, and provides insights to business teams
Employer & Industry UsageUsed in organizations with large data infrastructure, primarily in IT, finance, healthcareUsed across industries for business intelligence, marketing, finance, and operations

The Data Warehouse Manager focuses on overseeing data storage, architecture, and team management, ensuring data systems run efficiently. In contrast, the Data Analyst interprets data to generate insights and reports for decision-making. Both roles require strong data skills but serve different functions within an organization.

What does a data warehouse manager do?

A data warehouse manager oversees the design, implementation, and maintenance of data storage systems that integrate and organize large volumes of data for analysis. They coordinate with data analysts and IT teams, ensure data quality and security, and often use tools like SQL and ETL processes to optimize data workflows. Strong leadership, technical skills, and understanding of database management are essential for this role.

What are the most commonly searched types of Data Warehouse jobs in Oregon?

The most popular types of Data Warehouse jobs in Oregon are:

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

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

What cities in Oregon are hiring for Data Warehouse Manager jobs?

Cities in Oregon with the most Data Warehouse Manager job openings:

Infographic showing various Data Warehouse Manager job openings in Oregon as of June 2026, with employment types broken down into 61% Full Time, 34% Part Time, and 5% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $133,062 per year, or $64 per hour.

$119K - $143K/yr

Contractor

Re-posted 9 days ago


Job description


Job Description
• Establishes database management systems, standards, guidelines, and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy.
• Documents and communicates database design. Evaluates and installs database management systems.
• Codes complex programs and derives logical processes on technical platforms. Builds windows, screens, and reports.
• Assists in the design of user interface and business application prototypes.
• Participates in quality assurance and develops test application code in client server environment. Provides expertise in devising, negotiating, and defending the tables and fields provided in the database.
• Adapts business requirements, developed by modeling/development staff and systems engineers, and develops the data, database specifications, and table and element attributes for an application.
• At more experienced levels, helps to develop an understanding of client's original data and storage mechanisms.
• Determines appropriateness of data for storage and optimum storage organization. Determines how tables relate to each other and how fields interact within the tables for a relational model.
Requirements
• Associate degree (Community College, MBO)
• Python
• SQL
• Snowflake
• Data Warehouse ETL
• Data Base
Additional Requirements
• Database Modelling
• User Interface
• Database Management
• Conceptual Design
• Switch Capacity
• Maintenance
Quality Assurance