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Data Warehouse Developer Jobs in Oregon (NOW HIRING)

We are seeking a Principal Data Engineer to drive scalable, business-focused data solutions that ... Explain enterprise data lake and data warehouse concepts clearly to non-technical audiences.

Core data sources flow into the warehouse with clean, tested, documented transformations * Claims and HCP intelligence data are ready for downstream analytics and commercial measurement * Engineering ...

Data Systems Analyst

$90K - $120K/yr

... data warehouse Validate data ingestion and transformations through profiling, reconciliation, and exception analysis Partner closely with data engineering and senior analysts to ensure scalable ...

Senior Healthcare Data Engineer

$105K - $143K/yr

... Data Engineer to join and grow with our practice. Our Data Management and Strategy Practice ... Designing and building data pipelines, warehouses, data integration, and business intelligence ...

OR

$105K - $143K/yr

You will own the complete data lifecycle, spanning ingestion, transformation, warehousing ... Data Engineering & ETL - 35% * Pipeline Design & Orchestration: Design, build, and maintain robust ...

OR · On-site

$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 - Manager, you will play a pivotal role in transforming raw data into actionable ... warehouse troubleshooting and performance tuning - Mentoring junior staff in data strategy and ...

Senior Business & Data Analyst

OR · Remote

$100K - $125K/yr

SQL and Data Engineering * Write and optimize complex SQL queries using CTEs, window functions, joins, and stored procedures. * Design and maintain data models, ETL/ELT pipelines, and data warehouse ...

Acts as owner of company wide data warehouse in regard to maintenance, availability of systems data, and coordination of data integration engineers when needed. * Works with stakeholders, including ...

OR

$114K - $137K/yr

What you will bring * 8+ years of experience in data engineering, data warehousing, or cloud data ... architecture. * 3+ years of hands-on experience with Snowflake, including architecture, performance ...

OR

$114K - $137K/yr

Experience with modern data warehouse and query technologies such as Snowflake, Redshift ... Experience building and operating data platforms with strong DevOps and operational practices ...

OR

$114K - $137K/yr

Experience: 5+ years in data engineering, with at least 2+ years focused on distributed, large-scale cloud data warehouses. * Snowflake Expertise: Proven experience with Snowflake performance ...

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Data Warehouse Developer information

See Oregon salary details

$14

$57

$77

How much do data warehouse developer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for data warehouse developer in Oregon is $57.54, according to ZipRecruiter salary data. Most workers in this role earn between $50.05 and $68.61 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Warehouse Developer, and why are they important?

To thrive as a Data Warehouse Developer, you need expertise in data modeling, ETL processes, SQL, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with data warehousing tools (such as Informatica, Talend, or SSIS), OLAP systems, and cloud data platforms is highly valuable, along with relevant certifications. Strong analytical thinking, problem-solving abilities, and effective communication skills set standout professionals apart in this role. These skills are crucial for designing efficient data solutions, ensuring data integrity, and enabling business intelligence for informed decision-making.

What are some common challenges Data Warehouse Developers face when integrating data from multiple sources?

Data Warehouse Developers often encounter challenges with data consistency, varying data formats, and incomplete or poor-quality data when integrating information from multiple sources. Resolving these issues typically involves designing robust ETL (Extract, Transform, Load) processes, implementing data cleansing routines, and collaborating closely with data owners and business analysts to understand data lineage and requirements. Adapting to frequent changes in source systems and ensuring the warehouse remains scalable and performant can also be demanding, but they provide valuable opportunities to develop problem-solving skills and deepen technical expertise.

How much do data warehouse developers make?

Data warehouse developers typically earn a median annual salary ranging from $80,000 to $120,000, depending on experience, location, and industry. Professionals with skills in SQL, ETL tools, and cloud platforms like AWS or Azure may command higher salaries. Entry-level positions generally start lower, while senior roles with certifications can offer higher compensation.

What are Data Warehouse Developers?

Data Warehouse Developers are IT professionals who design, build, and maintain data warehouse systems that consolidate and organize data from multiple sources. They create data models, develop extraction, transformation, and loading (ETL) processes, and ensure data integrity and optimal performance for analytics and reporting. Their work supports business intelligence efforts by making large volumes of data accessible and useful for decision-making.

What Is a Data Warehouse Developer?

A data warehouse developer designs and implements data warehouses, which are meant to store large amounts of data for easy retrieval by a business or organization. In this role, your duties are to develop storage architecture, design big data models, and create ways to input transactions, such as sales, receipts, customer data, and user downloads. Working with other developers, you ensure that the warehouse can both receive customer and client data and return it as output to analysts who can make recommendations based on their interpretation.

Is SQL Server a DWH?

SQL Server is a relational database management system that can be used to build data warehouses (DWH) by integrating and storing large volumes of data for analysis. Data Warehouse Developers often use SQL Server along with tools like SSIS and SSRS to design, develop, and maintain data warehouse solutions. However, SQL Server itself is not a data warehouse but a platform that supports data warehousing tasks.

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

AspectData Warehouse DeveloperData Analyst
CredentialsBachelor's in Computer Science, Data Management, or related field; certifications like Microsoft Certified: Data Analyst AssociateBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentDesigning, developing, and maintaining data warehouses; working with ETL tools and database systemsAnalyzing data sets, creating reports, and providing insights using BI tools
Industry UsageUsed across industries for data storage and managementUsed across industries for data analysis and reporting

The main difference is that Data Warehouse Developers focus on building and maintaining data storage systems, while Data Analysts interpret data to support business decisions. Both roles require strong technical skills and often overlap in data handling tasks, but their core responsibilities differ.

What is an ETL developer's salary?

An ETL developer's salary typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled developers with expertise in tools like Informatica, Talend, or Apache NiFi and knowledge of SQL and data modeling tend to earn higher salaries.

What does a data warehouse developer do?

A data warehouse developer designs, builds, 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 Developer jobs in Oregon? For Data Warehouse Developer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Warehouse Developer jobs in Oregon look for? The top searched job categories for Data Warehouse Developer jobs in Oregon are:
Infographic showing various Data Warehouse Developer job openings in Oregon as of June 2026, with employment types broken down into 78% Full Time, 16% Part Time, 3% Contract, and 3% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $119,689 per year, or $57.5 per hour.
Principal Data Engineer

Other

Posted 14 days ago


Job description

We are seeking a Principal Data Engineer to drive scalable, business-focused data solutions that power insight-driven decision-making across the enterprise. This role is ideal for someone who combines deep technical expertise in modern data platforms with the ability to translate complex data concepts into clear, actionable insights for non-technical stakeholders.

You will partner closely with Sales, Marketing, Customer Success, and Product teams to design, build, and optimize data models and pipelines that support reporting, analytics, and self-service data access.

In this role, you will:

  • Lead data initiatives across business functions (Sales, Marketing, Revenue Operations, Customer Success & Support) by delivering clear, actionable insights and strong data storytelling.
  • Design, build, and maintain scalable data pipelines and transformations using Snowflake and dbt.
  • Develop and manage dimensional data models and curated data marts to support analytics and reporting.
  • Write efficient, scalable SQL to transform and analyze large datasets.
  • Partner with business stakeholders to translate requirements into data models and solutions that drive decision-making.
  • Explain enterprise data lake and data warehouse concepts clearly to non-technical audiences.
  • Ensure high standards for data quality, governance, and reliability.
  • Support and enable self-service analytics through well-structured, documented data assets.
  • Mentor team members and promote best practices in data engineering and modeling.

You have what it takes if you have:

  • 10+ years of experience in data engineering, analytics, or BI in an enterprise environment.
  • Strong expertise in Snowflake, including building data pipelines and optimized data structures.
  • Hands-on experience with dbt for data transformation and modeling.
  • Deep understanding of data warehousing principles, including dimensional modeling (star/snowflake schemas).
  • Advanced SQL skills for large-scale data transformation and analysis.
  • Experience working with data lakes and modern data platforms.
  • Familiarity with Python for data tasks (scripting, automation, light data processing)-no data science experience required.
  • Excellent communication skills, with the ability to explain technical concepts to business stakeholders.
  • Proven ability to partner cross-functionally and deliver business-impacting data solutions.

An extra dose of awesome if...

  • Experience working in AWS or multi-cloud environments.
  • Familiarity with orchestration and ETL tools (e.g., Airflow, Informatica, Matillion).
  • Experience supporting Tableau or similar BI tools.
  • Background supporting CRM / GTM systems (e.g., Salesforce, Marketo, Gainsight).

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