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Data Engineer Jobs in Albany, OR (NOW HIRING)

Stellantis

Resident Engineer

Salem, OR · On-site

$99K - $127K/yr

Deliver statistical analysis of data on competition, customer direction, product performance ... Engineer process variation reduction * Employ advanced problem-solving expertise to correct ...

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 · On-site

$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 ...

ATI

Quality Engineer

Albany, OR · On-site

$70K - $91K/yr

Collect and analyze process data to identify trends, inefficiencies, or opportunities for ... Manufacturing Engineering, or a related technical discipline. * Strong analytical and problem ...

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 Albany, OR

Data Engineer information

See Albany, OR salary details

$44.4K

$129.4K

$177.1K

How much do data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data engineer in Albany, OR is $129,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $137,200.00 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 Albany, OR?

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

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Albany, OR as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $129,444 per year, or $62.2 per hour.

MEMs Yield Engineer

HP Development Company, L.P.

Corvallis, OR • On-site

$93K - $143K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 2 days ago

Job description

MEMs Yield Engineer
Description -
Job Summary
The MEMS organization is seeking a highly motivated Yield Engineer to drive yield monitoring, analysis, and improvement activities across manufacturing operations. This role is responsible for identifying yield loss mechanisms, responding to yield excursions, developing yield improvement roadmaps, and partnering with cross-functional teams to improve product quality and cost performance.
The Yield Engineer serves as the focal point for yield performance, working closely with Integration Engineering, Process Engineering, Product Engineering, Failure Analysis, Manufacturing Operations, and Worldwide Manufacturing partners to rapidly identify issues, drive root-cause investigations, and implement robust corrective actions.
Key Responsibilities
Yield Monitoring & Reporting
  • Monitor yield performance across products and process modules
  • Identify yield excursions, emerging trends, and areas for improvement through statistical analysis and data mining
  • Establish and maintain yield dashboards
  • Communicate yield performance, risks, and opportunities to technical and management teams

Yield Analysis & Improvement
  • Lead or support investigations into yield excursions and out-of-control conditions
  • Develop and prioritize yield improvement projects based on business impact and technical risk
  • Partner with process and integration engineers to evaluate process changes and improvement opportunities

Manufacturing & Operational Support
  • Establish yield hold limits and response plans for significant yield deviations.
  • Support material disposition decisions for non-conforming product.
  • Assist in process & tooling qualifications, manufacturing readiness assessments, and production ramp activities

Education & Experience
  • Bachelor's degree in Electrical Engineering, Chemical Engineering, Physics, Materials Science or related technical field
  • 5+ years of experience in wafer fabrication - familiarity with photolithography, deposition, etch, metrology, and electrical test
  • Experience with statistical analysis tools

Knowledge & Skills
  • Ability to work effectively across multidisciplinary teams
  • Data-driven decision making
  • Strong analytical and problem-solving skills
  • Continuous improvement mindset
  • Strong written and verbal communication skills.

The pay range for this role is $93,400 to $143,800 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 -
Engineering
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
No
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"

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