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Data Engineer Jobs in Corvallis, OR (NOW HIRING)

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 ...

Koch Industries

Senior Process Engineer

Toledo, OR · On-site

$110K - $143K/yr

Your Job The Senior Process Engineer provides technical leadership for safe, reliable, and cost ... and DCS data to identify trends, losses, bottlenecks, and improvement opportunities. • ...

Garmin International, Inc.

Quality Engineer 1

Salem, OR · On-site

$71K - $91K/yr

Overview We are seeking a full-time Quality Engineer 1 in our Salem, OR location. In this role, you ... Experience with SPC software, Minitab, Excel, and data analysis * Knowledge of Geometric ...

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Showing results 21-40

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 Sep 6, 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 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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
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:

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

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

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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 83% Full Time, 8% Temporary, and 9% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $134,387 per year, or $64.6 per hour.

Senior Staff Manufacturing Systems Engineer

Agility Robotics

Salem, OR • On-site, Remote

$91K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers-tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
About Agility Robotics:
Agility Robotics is revolutionizing the way robots interact with the world. Our flagship humanoid robot, Digit, is the first to be sold for deployment in human environments at scale. We are a team of visionary engineers and scientists passionate about building robots that move, adapt, and work alongside people in real-world settings. Agility is committed to creating breakthrough technologies in mobility, dexterity, and human-robot collaboration that make work safer, more productive, and more fulfilling.
About the Role:
The Senior Staff Manufacturing Systems Engineer is a senior individual contributor and senior technical lead within Operations Engineering. Reporting to the Director of Operations Engineering, this role leads the design and implementation of manufacturing system architecture - ensuring that production, test, and automation systems are built to requirements and designed for scalability, quality, and operational efficiency.
As a leading technical expert in manufacturing systems integration, this role provides cross-functional technical leadership across Manufacturing Engineering, Test Engineering, NPI, Automation, and IT/Software teams, while staying hands-on with the floor issues that block production. This role shapes how complex robotic and mechatronic products are built, tested, and scaled from prototype to high-volume production.
Key Responsibilities:
Manufacturing Systems Architecture & Strategy
  • Define and maintain the end-to-end Manufacturing Systems Architecture, spanning factory automation, data flow, MES systems, ERP integration, test infrastructure, and traceability frameworks.
  • Partner with the Director of Operations Engineering to establish long-term strategies for smart factory enablement, digital manufacturing, and system interoperability.
  • Translate business and operational goals into scalable manufacturing system requirements and roadmaps.
  • Project Management: Manages manufacturing schedules, budgets, and risk assessments for leadership.

Systems Integration & Design Leadership
  • Lead cross-functional integration of mechanical, electrical, software, and automation subsystems into cohesive manufacturing solutions.
  • Architect interfaces between production equipment, test systems, MES, PLM, and ERP platforms - including active support of the current ERP migration (Micus to NetSuite), ensuring quality, non-conformance, and traceability data flow correctly into the new system.
  • Oversee technical reviews, design validation, and readiness assessments for new manufacturing system deployments.
  • System Integration: Connects factory floor equipment with global supply chains and digital platforms.

Operational Readiness & Scalability
  • Drive system-level readiness for new product introductions (NPI), ensuring manufacturing systems support ramp readiness and high first-pass yield.
  • Work directly with the NPI Manufacturing Engineering team on active build issues - e.g., subsystem (actuator, torso, leg) build bottlenecks, work-instruction and redline backlogs, and DFMEA/traceability gaps - providing systems-level solutions, not just architectural guidance.
  • Collaborate with Manufacturing, Quality, and Test Engineering to optimize workflows, eliminate bottlenecks, and standardize processes.
  • Champion manufacturability and maintainability through design-to-build principles and lifecycle systems thinking.

Technical Leadership & Mentorship
  • Serve as a senior technical resource and advisor for manufacturing system design and integration decisions.
  • Mentor engineers across multiple disciplines, raising the overall technical capability of the organization.
  • Influence cross-departmental standards, documentation practices, and system-level verification strategies.

Innovation & Continuous Improvement
  • Drive implementation of digital manufacturing tools (e.g., MBSE, digital twins, automated data analytics, and predictive maintenance).
  • Evaluate and deploy new technologies to improve throughput, reliability, and data-driven decision-making.
  • Establish system health metrics and continuous improvement frameworks for factory performance monitoring.
  • Process Improvement: Uses tools like value stream mapping to reduce waste and improve workflow.
  • Data Analysis: Uses data mining to track performance and troubleshoot production bottlenecks.

Qualifications:
  • Bachelor's degree with 12+ years, Master's degree with 10+ years, or PhD with 8+ years of experience in Manufacturing Engineering, Systems Engineering, Mechanical Engineering, Electrical Engineering, or a related discipline, with a focus on manufacturing systems design, integration, and deployment for complex electromechanical or robotic products.
  • Proven record of leading cross-functional initiatives across hardware, software, and operations teams.
  • Expert-level understanding of manufacturing system architectures (MES, PLM, ERP, SCADA, automation controls, test systems).
  • Hands-on experience with ERP/MES platforms in a production environment (NetSuite experience strongly preferred given active migration).
  • Strong communication and leadership skills; able to influence technical direction across teams and executive stakeholders.
  • Willingness and ability to be on-site regularly to support builds, reviews, and floor issues in real time.

Preferred:
  • Experience with robotics, advanced automation, or complex mechatronic assembly lines.
  • Background in model-based systems engineering (MBSE), digital twin implementation, or smart factory systems.
  • Familiarity with data systems (SQL, APIs, data lakes) and software integration for manufacturing intelligence.
  • Demonstrated success scaling systems from prototype to high-volume production.
  • Experience in high-mix, low-volume manufacturing environments.
  • Experience with DFMEA/PFMEA processes and quality traceability systems.

Success Criteria:
  • Delivers a unified, scalable, and data-driven manufacturing systems architecture that supports product and factory growth.
  • Enables seamless integration between design, manufacturing, and test systems, reducing cycle times and improving quality.
  • Establishes clear system standards and fosters collaboration across all engineering functions.
  • Acts as a trusted technical resource, supporting the long-term direction for manufacturing systems capability within the organization, while remaining hands-on for active NPI and production issues.

Why Join Agility Robotics?
You'll be at the forefront of redefining how machines and people coexist. Your work will directly influence the next generation of humanoid robots and how they're built - from the drawing board to the warehouse floor. Join a passionate, multidisciplinary team united by a mission to make robots useful, reliable, and human-compatible.
Other Duties:
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job, as this is subject to change at any time with or without notice. Employees will be required to follow any other job-related instructions and perform any other job-related duties requested by anyone authorized to give such instructions or assignments.
Location
  • This is a hybrid position based out of our Salem, OR office.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.
Anticipated Base Salary Range
$181,000-$236,000 USD
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.

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