ZipRecruiter

Log In

1

Data Engineer Jobs in Corvallis, OR (NOW HIRING)

Hp

Principal Data Solutions Architect

Corvallis, OR · On-site

$147K - $230K/yr

Data Engineering * Data Modeling * Digital Twins * Hybrid Edge+Cloud Systems * Extract Transform ... Load (ETL) * Product Leadership * Python (Programming Language) * Roadmap Develoiper * Scalability

RLA Engineering LLC

Be Seen First

Wafer Fab Process Engineer

Corvallis, OR · On-site

The wafer fab process engineer will collaborate with product R&D teams to make decisions on process quality based on data and statistical analysis. Duties and Responsibilities * Develop fundamental ...

RLA Engineering LLC

Be Seen First

Wafer Fab Process Engineer

Corvallis, OR · On-site

The wafer fab process engineer will collaborate with product R&D teams to make decisions on process quality based on data and statistical analysis. Duties and Responsibilities * Develop fundamental ...

System One

OSP Engineer

Salem, OR · Remote

The OSP Engineer, performs detailed outside plant facility engineering tasks that include ... Performs duties such as collecting field data, preparing/organizing permit packages for submittal ...

Stem Xpert

Data Analyst

Salem, OR

Data Analyst Location : Salem Oregon duration : 6+months : * Analyze ODOT Asset Management systems and databases and document the current state this would include SQL, Oracle, Access, GIS, etc.

HP Development Company, L.P.

Test Engineer

Corvallis, OR · On-site

$73K - $113K/yr

Participates in reviews of requirements, available design data and test plan development. * Designs portions of engineering solutions to test and evaluate systems, equipment, and devices based on ...

Hp

Test Engineer

Corvallis, OR

$73K - $113K/yr

Participates in reviews of requirements, available design data and test plan development. * Designs portions of engineering solutions to test and evaluate systems, equipment, and devices based on ...

ATI

Process Engineer - Heat Treat

Albany, OR · On-site

The Heat Treatment Engineer is instrumental in collecting, reviewing and processing and product data from our furnaces to ensure furnaces operate within required temperature tolerances based on ...

EJS Group, LLC

Mine Planning Engineer

Tangent, OR · On-site

$120K/yr

Gather and Utilize Mine Planning Data: Gather and utilize geologic mapping, drill data, hydrologic ... Bachelor's degree in Mining Engineering, or in an associated technical field such as Geology ...

ATI

Performance Engineer

Albany, OR · On-site

$75K - $85K/yr

Record, analyze, and interpret production deviation data to determine trends and opportunities for ... Partner with reliability engineers to identify and address equipment losses to ensure long-term ...

Hp

Site Network Engineer

Corvallis, OR

$83K - $120K/yr

Site Network Engineer Description - Job Summary This role is responsible for designing and ... data-driven insights with limited project direction input. The role collaborates with internal ...

New

next page

Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Corvallis, OR

Data Engineer information

See Corvallis, OR salary details

$46.1K

$134.4K

$183.9K

How much do data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data engineer in Corvallis, OR is $134,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,600.00 and $142,400.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Corvallis, OR?

The most popular types of Data Engineer jobs in Corvallis, OR are:

What are popular job titles related to Data Engineer jobs in Corvallis, OR?

For Data Engineer jobs in Corvallis, OR, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Corvallis, OR look for?

The top searched job categories for Data Engineer jobs in Corvallis, OR are:

What cities near Corvallis, OR are hiring for Data Engineer jobs?

Cities near Corvallis, OR with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Corvallis, OR as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $134,387 per year, or $64.6 per hour.

Principal Data Solutions Architect

HP Development Company, L.P.

Corvallis, OR • On-site

$147K - $230K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 4 days ago

Job description

Principal Data Solutions Architect
Description -
Principal Data Solutions Architect
Job Summary
HP PageWide Industrial operates at the intersection of high-performance hardware, industrial software, and real-time data at factory scale. This role is for a senior architect who wants to shape how industrial presses connect to cloud platforms, partner ecosystems, and AI-enabled solutions-unlocking real-time productivity insights and enabling the next generation of intelligent, autonomous press operations.
This role is responsible for partnering across solution delivery organizations to define the PWI press data strategy and APIs that integrate our presses with customer factory management systems, third-party analytics and workflow solutions, robotics, and the HP PrintOS platform and applications.
Responsibilities
  • Own and lead the end-to-end ecosystem integration architecture; consider the data, systems, and workflows spanning many domains including presses, jobs, attached or involved devices, AI capabilities and agents, and partner systems within factory settings and associated cloud services.
  • Set architectural guardrails that ensure security, scalability, reliability, and customer extensibility.
  • Define and evolve the technical roadmap and target-state architecture for press-to-factory and cloud ecosystem integrations.
  • Serve as the architectural authority to define factory-level and partner-facing API standards, contracts, and governance.
  • Partner with internal teams to ensure robust data models, schemas, versioning, and lifecycle management.
  • Lead evaluation and adoption of industry standards and emerging opportunities.
  • Explore, prototype, and validate AI-enabled use cases leveraging press and factory data.
  • Engage directly with customers and partners as needed for technical escalations, integration strategy alignment, and early adopter and pilot engagements.
  • Leverage recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.
  • Build and manage relationships throughout the Industrial Print organization.
  • Establish scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation.
  • Provide guidance and mentoring to less experienced staff members.

Education & Experience Required
  • Four-year or Graduate Degree in Computer Science, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
  • Typically has 10+ years of work experience designing and delivering high-performant industrial software, data engineering, cloud platforms, or a related field.
  • Experience in industrial automation, smart manufacturing, IIoT, robotics, or factory software ecosystems is appreciated.
  • Hands-on experience with applied AI/ML systems, analytics platforms, or data science collaboration.
  • Familiarity with cybersecurity considerations in industrial and cloud-connected environments.
  • Experience working with external partners, standards bodies, or large enterprise customers.

Desirable Knowledge & Skills
  • Agile Methodology
  • AI Domains for Industrial Applications
  • computer vision, agentic AI, predictive maintenance, anomaly detection, troubleshooting
  • Amazon Web Services
  • Big Data
  • Data Analysis
  • Data Engineering
  • Data Modeling
  • Digital Twins
  • Hybrid Edge+Cloud Systems
  • Extract Transform Load (ETL)
  • Product Leadership
  • Python (Programming Language)
  • Roadmap Develoiper
  • Scalability
  • SQL (Programming Language)
  • Software Architecture
  • System Analysis

Cross-Org Skills
  • Effective Communication
  • Results Orientation
  • Learning Agility
  • Digital Fluency
  • Customer Centricity
  • Sound Judgment
  • Creative Understanding

Impact & Scope
  • Impacts large functions and leads large, cross-division functional teams or projects.

Complexity
  • Provides highly innovative solutions to complex problems within established policy.

Disclaimer
  • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Salary
The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
Software
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

Apply