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Data Analytics Engineer Jobs in Salem, OR (NOW HIRING)

AI Engineer, Sr

Newberg, OR

$109K - $150K/yr

SQL for working with structured data used in analytics, forecasting, and model inputs * Technical Skills: * Strong understanding of data pipelines, feature engineering, and data quality fundamentals

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

SQL for working with structured data used in analytics, forecasting, and model inputs * Technical Skills: * Strong understanding of data pipelines, feature engineering, and data quality fundamentals

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

... working with structured data used in analytics, forecasting, and model inputs • Strong ... engineering, and data quality fundamentals • Experience integrating AI solutions with existing ...

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 ...

... analyzing, designing, planning, and budget tracking estimates against actual costs for copper and ... Performs duties such as collecting field data, preparing/organizing permit packages for submittal ...

ASP.Net C# developer

Salem, OR

$48.50 - $64/hr

Position: ASP.Net C# developer Location: Salem, OR Duration: 12+ Months Contract Reviews, analyzes ... data analysis, etc. The scope of work includes tasks associated with system analysis, development ...

Showing results 41-60

Data Analytics Engineer information

See Salem, OR salary details

$44.7K

$130.4K

$178.4K

How much do data analytics engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data analytics engineer in Salem, OR is $130,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $138,200.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

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

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

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

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

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

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

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

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

Infographic showing various Data Analytics Engineer job openings in Salem, OR as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $130,370 per year, or $62.7 per hour.

Packaging Module Development Engineer

INTEL

Lafayette, OR

Full-time

Medical, Retirement, PTO

Posted yesterday

New


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 157 rated electronics manufacturers


Job description

Job Description

We are seeking a highly motivated, self-driven individual to join Materials Technology Development (MTD), bringing a strong technical background and a demonstrated ability to collaborate effectively across cross-functional teams to drive materials technology development for advanced packaging. The ideal candidate will have a strong educational foundation in Materials Science, such as Metallurgy or Polymer Science or Polymer Chemistry, with an excellent understanding of structure-property-performance correlations in materials and strong functional knowledge of materials characterization tools and techniques.

The candidate must be able to apply sound technical problem-solving skills to resolve materials-process-equipment challenges in technology development and drive innovative materials solutions for advanced packaging at Intel. This role requires close collaboration with cross organizational stakeholders to deliver novel materials technologies that meet stringent quality and reliability requirements. The candidate must also be able to work effectively with external materials suppliers and possess strong communication and presentation skills, including the ability to formulate and present materials strategies and development plans in both internal and external forums

Note: This role requires regular onsite presence to fulfill essential job responsibilities.

Key Responsibilities:

  • Develops assembly materials, processes and/or equipment and applies novel concepts for innovative solutions to enable Intel's roadmap of future assembly packaging platform technologies.

  • Optimizes and improves the efficiency of manufacturing of packages, developing innovative materials, processes to meet quality, reliability, cost, yield, productivity and manufacturability requirements.

  • Develops process and equipment specifications applying principles for design of experiments and data analysis, and documents improvements through white papers.

  • Develops materials target specifications to ensure excellent integration of materials into packaging equipment and processes meeting quality and reliability targets.

  • Ensures manufacturability of physical layout of package design and oversees the cycle of manufactured package processes, procedures and flows.

  • Establishes material specifications for contract assemblers and raw material vendors and interfaces with supplier quality and procurement teams to ensure materials technology, quality and vendor performance requirements are met through strict adherence to process specifications and existing product qualification methods.

  • Develops new techniques and acceleration methods, tools, and quality screens to ensure the early identification of potential problems with packaging materials quality and reliability.

  • Sets reliability requirements to meet customer needs and influences design, material selection and process development to meet those needs, based on fundamental understanding of failure mechanisms.

  • Leads efforts towards innovating, problem solving, developing, and continuously improving materials, equipment and processes using experimental design and statistical methods.

  • Provides consultation concerning packaging problems and improvements in the packaging process, and responds to customer/client requests or events as they occur.

  • Delivers standardization in product qualification, manufacturing quality systems, and methods and continuously engages with packaging technology development and partner engineering groups on materials/process/technology maturity for products towards key risk areas in meeting product milestones.


Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

  • Bachelor's degree with 4+ years of experience or  Master's degree with 3+ years of experience or Ph.D in a relevant field such as Materials Science, Metallurgy, Chemical Engineering, Chemistry, Mechanical Engineering, or a related discipline.

  • 4+ years of hands-on experience in packaging module development, process characterization, or equipment optimization.

Preferred Qualifications:

  • Experience in collaborating with cross-functional teams, suppliers, and manufacturing operations to achieve shared goals.

  • Proficiency in Design of Experiments (DOE) principles and statistical data analysis tools.

  • Demonstrated expertise in packaging fundamentals, package design and development, and package testing methodologies.

  • Knowledge of reliability and quality requirements for semiconductor packaging.

  • Knowledge of materials structure-property-performance behaviors and materials characterization techniques is highly preferred.

We are excited to welcome passionate engineers who thrive on innovation, collaboration, and driving advancements in technology. If you are ready to make an impact and help shape the future of semiconductor packaging, we invite you to apply today.


Inside this Business Group
Intel makes possible the most amazing experiences of the future. You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers, and society.
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.
Annual Salary Range for jobs which could be performed in the US $127,400.00-$179,900.00
*Salary range dependent on a number of factors including location and experience
Working Model
This role will require an on-site presence.* Job posting details (such as work model, location or time type) are subject to change.

What Intel employees say

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968