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Database Engineer Jobs in Oregon (NOW HIRING)

Data engineer

Beaverton, OR · On-site

$120K - $144K/yr

Minimum Qualifications • 5+ years working as data engineer / database developer (Hadoop, cloud experience preferred) • 5+ years of experience in data warehousing / big data environment ...

Senior Staff Software Engineer, Data

OR · On-site +1

$105K - $143K/yr

Your Impact on our Mission We are looking for a Senior Staff Data Platform Engineer to elevate the systems that power trusted decision-making at Zocdoc. In this high-impact role, you will define ...

Previously worked in a similar SDET, Release Engineering, or QA role related to a classical database or distributed system. * Have hands-on experience with any programming language (Python, Go, C+

OR

$114K - $137K/yr

This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed ...

Join AZAD Technology Partners as a Database Administrator an d assist the Systems Administration ... Founded and managed by technologists and engineers, AZAD is a leading provider of Consulting ...

The Software and AI (SAI) organization is seeking a highly skilled Software Development Engineer to contribute to the development and optimization of oneDNN, a complex, crossplatform, opensource ...

Minimum of 3 years of experience as a business intelligence database developer or related field. Experience with the Microsoft BI Stack (SQL Server, SSRS, SSIS & SSAS) required. Expert with SQL and ...

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Database Engineer information

See Oregon salary details

$64K

$129.1K

$177.1K

How much do database engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for database engineer in Oregon is $129,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $148,000.00 per year, depending on experience, location, and employer.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining complex data systems that require human expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on architecture, optimization, and problem-solving. Skills in database management, programming, and understanding of data workflows remain essential for the role.

What Is a Database Engineer?

As a database engineer, you work to develop and maintain data solutions and information systems for a company in any industry that requires processing and storage of large amounts of information, including healthcare providers or financial service firms. Because you often deal with sensitive data, you must be familiar with appropriate data protection and encryption processes, as well as relevant regulatory frameworks like HIPAA.

What does a database engineer do?

A database engineer designs, develops, and maintains databases to ensure efficient data storage, retrieval, and security. They often work with database management systems like SQL or NoSQL, optimize database performance, and implement backup and recovery procedures to support organizational data needs.

What are the key skills and qualifications needed to thrive as a Database Engineer, and why are they important?

To thrive as a Database Engineer, you need expertise in database design, management, and optimization, often supported by a degree in computer science or a related field. Proficiency with database platforms like MySQL, PostgreSQL, Oracle, or SQL Server, as well as experience with tools such as SQL, ETL processes, and relevant certifications (e.g., Microsoft Certified: Azure Database Administrator Associate) are typical requirements. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with developers and stakeholders. These skills are crucial for ensuring data integrity, system performance, and supporting business operations through reliable data management.

What are some common challenges faced by Database Engineers when working with large-scale databases?

Database Engineers working with large-scale databases often encounter challenges such as optimizing query performance, ensuring data consistency across distributed systems, and managing database scalability as data volumes grow. They also need to implement robust backup and recovery solutions to minimize downtime in case of failures. Collaborating closely with application developers and system administrators is essential to address these challenges and maintain database reliability and security.

What is the difference between Database Engineer vs Database Administrator?

AspectDatabase EngineerDatabase Administrator
Primary RoleDesigns, develops, and implements database systems and solutionsMaintains, monitors, and manages existing databases for performance and security
Skills & CertificationsSQL, database design, scripting, certifications like Microsoft Certified: Azure Database Administrator AssociateSQL, backup and recovery, security, certifications like Oracle Certified Professional
Work EnvironmentOften involved in development teams, working on new database solutionsTypically in operations teams, ensuring database stability and performance
Employer & Industry UsageTech companies, finance, healthcare, where database design is neededOrganizations requiring ongoing database management and support

While both roles work with databases, Database Engineers focus on designing and building new database systems, whereas Database Administrators manage and maintain existing databases to ensure optimal performance and security.

What engineers make $300,000 a year?

Senior-level database engineers with extensive experience, advanced skills in SQL, data architecture, and cloud platforms can earn $300,000 or more annually, especially in high-demand industries or large organizations. Achieving this salary often requires specialized certifications, leadership responsibilities, and working in competitive markets.

What engineers make $500,000?

Senior-level database engineers with extensive experience, advanced skills in SQL, data architecture, and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data systems.
What are the most commonly searched types of Database Engineer jobs in Oregon? The most popular types of Database Engineer jobs in Oregon are:
What are popular job titles related to Database Engineer jobs in Oregon? For Database Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Database Engineer jobs in Oregon look for? The top searched job categories for Database Engineer jobs in Oregon are:
What cities in Oregon are hiring for Database Engineer jobs? Cities in Oregon with the most Database Engineer job openings:
What are popular job titles related to Database Engineer jobs in OR? For Database Engineer jobs in OR, the most frequently searched job titles are:
Infographic showing various Database Engineer job openings in Oregon as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $129,107 per year, or $62.1 per hour.

$120K - $144K/yr

Full-time

Posted 2 hours ago


Job description

Data Engineer
Primary Responsibilities
• Support Data Science team by applying data mining techniques, feature engineering, algorithm optimization and scaling machine learning models in big data, cloud environment
• Support data aggregation jobs in a production environment as well as tune and optimize existing code base for multiple data products
• Process structured and unstructured data, validate data quality, and help design data quality tests in a big data environment
• Facilitate end to end solution design reviews with other members of the team that include communicating design, requirements, feature sets, functionality and limitations of systems/applications
• Build data movement pipelines leveraging SQL, Python and Spark that meet all functional & non-functional requirements
• Develop efficient feature capabilities to support proper data extraction & curation for analytical purposes
• Develop self-service analytics to enable users to better understand and assess impacts of key business drivers on financial results.
Minimum Qualifications
• 5+ years working as data engineer / database developer (Hadoop, cloud experience preferred)
• 5+ years of experience in data warehousing / big data environment, preferably in wireless industry and/or finance function
• Experience building & optimizing data pipelines on cloud solutions such as AWS & Azure
• Extensive experience in Spark, Python, PySpark, Scala, SQL/Hive
• Familiar with Spark MLlib, SParkSQL
• Writing complex SQL statements and performing data discovery
• Proven experience with data modeling, complex data structures, data processing, data quality, and data lifecycle
• Experience in API design, SDK architecture, and mobile software lifecycle development practices
• Strong organizational and time management skills, ability to prioritize a large group of diverse projects simultaneously, and deliver on multiple threads of work
• Experience working in agile environments on multiple projects simultaneously
• Excellent written and verbal communication skills
• Bachelor's degree in computer science or related technical field