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Data Engineering Internship Jobs in Oregon (NOW HIRING)

... internship experiences and or schoolwork/classes/research. Minimum Qualifications ... PhD in a STEM discipline such as Electrical Engineering, Materials Science, Applied Physics ...

... internship experiences and or schoolwork/classes/research. Minimum Qualifications ... PhD in a STEM discipline such as Electrical Engineering, Materials Science, Applied Physics ...

... internship experiences and or schoolwork/classes/research. Minimum Qualifications ... PhD in a STEM discipline such as Electrical Engineering, Materials Science, Applied Physics ...

... internship experiences and or schoolwork/classes/research. Minimum Qualifications ... PhD in a STEM discipline such as Electrical Engineering, Materials Science, Applied Physics ...

... internship experiences and or schoolwork/classes/research. Minimum Qualifications ... PhD in a STEM discipline such as Electrical Engineering, Materials Science, Applied Physics ...

... and data converter interfaces. * Support laboratory testing and characterization using ... Engineering, or related discipline. * 0-2 years of industry experience, including internships, co ...

New

PCL is excited about the growth of data center opportunities throughout the Northwest and is ... Mentors and coaches field engineers and students/interns). * Identifies issues on-site or in ...

$16.75 - $21/hr

Internship - For College Credit Hours Only Semester: Fall 2025 Location: Remote Overview of the ... Tableau, or another data visualization software. * Familiarity of SQL, or other programming ...

Showing results 41-60

Data Engineering Internship information

What types of projects or tasks can I expect to work on during a data engineering internship?

As a Data Engineering Intern, you can expect to work on a variety of tasks such as building data pipelines, cleaning and transforming raw data, and assisting in the integration of data from multiple sources. You may also support the team in optimizing database performance and ensuring data quality. Interns often collaborate with data scientists, analysts, and software engineers, gaining exposure to different tools and technologies like SQL, Python, and cloud platforms. These experiences provide a strong foundation for a future career in data engineering.

What are the key skills and qualifications needed to thrive as a data engineering intern?

To thrive as a Data Engineering Intern, you need a solid grasp of programming (especially Python or Java), databases (SQL/NoSQL), and data structures, often demonstrated by coursework or relevant projects. Familiarity with data processing tools like Apache Spark, ETL pipelines, and cloud platforms such as AWS or Google Cloud is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication help interns excel in collaborative and fast-paced environments. These skills are crucial for building reliable data pipelines and supporting data-driven decision-making within organizations.

What is the difference between Data Engineering Internship vs Data Analyst Internship?

AspectData Engineering InternshipData Analyst Internship
Required SkillsSQL, Python, ETL, cloud platformsExcel, SQL, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud infrastructureData reporting, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Data Engineering Internships focus on building and maintaining data pipelines and infrastructure, requiring technical skills like SQL and Python. Data Analyst Internships emphasize analyzing data to generate insights, often using Excel and visualization tools. Both roles are common in tech-driven industries but serve different functions within data teams.

What is a data engineering internship?

A Data Engineering Internship is a temporary position designed for students or recent graduates to gain practical experience in building, managing, and optimizing data pipelines and infrastructure. Interns typically work alongside professional data engineers to learn about data extraction, transformation, and loading (ETL) processes, database management, and data warehousing. This role provides hands-on exposure to tools like SQL, Python, and cloud platforms, helping interns develop essential technical skills for a career in data engineering. Interns may also assist in improving data quality and supporting analytics initiatives within a company.
What are the most commonly searched types of Data Engineering jobs in Oregon? The most popular types of Data Engineering jobs in Oregon are:
What cities in Oregon are hiring for Data Engineering Internship jobs? Cities in Oregon with the most Data Engineering Internship job openings:

Module Development Engineer

Intel Corporation

Hillsboro, OR • On-site

Full-time

Medical, Retirement, PTO

Re-posted 19 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 156 rated electronics manufacturers


Job description

Job Details:
Job Description:
As a Module Development Engineer, you will be at the forefront of Intel's semiconductor manufacturing innovation, driving the design and development of advanced manufacturing processes and enabling technologies. Your contributions will shape Intel's ability to deliver cutting-edge devices, enhance production efficiency, and influence the future of semiconductor technology. In this role, you will collaborate with world-class teams and industry-leading suppliers to pioneer materials, equipment, and process integration strategies that push the boundaries of technological possibilities. By joining Intel, you will have the opportunity to make a profound impact on our technology roadmap and help maintain Intel's leadership in a dynamic and competitive marketplace.
Key Responsibilities:
  • Develop and optimize advanced manufacturing processes including material selection, parameter adjustments, equipment metrology, and system design
  • Conduct feasibility studies and pathfinding activities to support innovative device architectures and manufacturing roadmaps
  • Design and implement modifications to operating equipment to improve efficiency and production output
  • Collaborate with equipment and material suppliers to establish enabling technology solutions and integrate them into manufacturing processes
  • Perform process technology feasibility studies using theoretical simulations and practical engineering methods
  • Stay informed on industry trends and technological advancements to align manufacturing processes with evolving semiconductor needs
  • Drive the development of cost-sensitive technology roadmaps in partnership with vendors and internal stakeholders

Qualifications:
Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Minimum Qualifications:
  • PhD in a STEM discipline such as Electrical Engineering, Materials Science, Applied Physics, Chemical Engineering, Chemistry, or a closely related field with at least 6+ months relevant experience

Relevant experience includes, but is not limited to:
  • Fundamental knowledge of plasma physics, surface reactions, thin film processes, and semiconductor materials
  • Experience with experimental design, data collection, and statistical analysis
  • Ability to analyze process results and clearly document findings in technical reports and presentations
  • Strong problem solving skills and ability to work independently while collaborating in cross functional teams
  • Effective written and verbal communication skills in a technical environment
  • Willingness to work in a fab or lab environment and follow strict safety and contamination control protocols

Preferred Qualifications:
  • PhD research focus specifically related to plasma etch, pattern transfer, or advanced logic/memory process integration
  • Hands on experience with production or pilot line dry etch tools (e.g., Lam, Applied Materials, TEL, ASM, Hitachi)
  • Knowledge of advanced node challenges such as high aspect ratio etching, CD control, etch selectivity, and damage mitigation
  • Experience with Design of Experiments (DOE) and statistical process control (SPC)
  • Familiarity with process integration, yield learning, or technology development methodologies
  • Programming or scripting experience for data analysis or automation (e.g., Python, MATLAB, JMP, or similar tools)
  • Exposure to foundry or industrial semiconductor Research and Development environments through internships, collaborations, or joint research programs
  • Ability to manage multiple experiments or development tasks in a fast paced, manufacturing driven Research and Development setting
  • Demonstrated interest in transitioning academic research into high volume manufacturing solutions
  • Hands on research experience with dry etch-related topics (e.g., plasma etching, RIE, ICP, ALE) through academic research, dissertation work, or internships
  • Working understanding of semiconductor manufacturing process flows and device structures
  • Familiarity with common semiconductor characterization techniques (e.g., SEM, TEM, AFM, XPS, ellipsometry)

For information on Intel's immigration sponsorship guidelines, please see Intel U.S. Immigration Sponsorship Information
Job Type:
College Grad
Shift:
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
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.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $133,800.00-188,890.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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Intel logo

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