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Temporary Computer Science Student Jobs in Beaverton, OR

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

Temporary Data Engineer

Vancouver, WA · On-site

$45 - $58/hr

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

Student Worker

Portland, OR · On-site

$14.75 - $16.75/hr

We also support OHSU students around experiences of discrimination, harassment, and retaliation ... Strong computer skills, especially with Microsoft, and/or ability to quickly learn * Ability to ...

Student Worker

Portland, OR · On-site

$14.75 - $16.75/hr

We also support OHSU students around experiences of discrimination, harassment, and retaliation ... Strong computer skills, especially with Microsoft, and/or ability to quickly learn * Ability to ...

Student Worker

Portland, OR · On-site

$14.75 - $16.75/hr

We also support OHSU students around experiences of discrimination, harassment, and retaliation ... Strong computer skills, especially with Microsoft, and/or ability to quickly learn * Ability to ...

Showing results 41-60

Temporary Computer Science Student information

What is a temporary computer science student?

Temporary Computer Science Students are individuals, often enrolled in academic programs, who take on short-term roles or internships related to computer science. These positions may involve assisting with research, software development, data analysis, or IT support, typically during school breaks or as part of a cooperative education program. The roles are designed to provide practical experience while allowing the student to return to their studies once the position ends.

What types of projects or tasks can a temporary computer science student expect to work on during their assignment?

As a Temporary Computer Science Student, you can expect to support ongoing software development, data analysis, or IT support projects under the guidance of experienced professionals. Common tasks include coding simple applications, troubleshooting technical issues, assisting with documentation, and testing software components. You'll often collaborate with team members in daily stand-ups or project meetings, gaining exposure to real-world workflows and tools. This role is an excellent opportunity to apply classroom knowledge, build industry connections, and gain hands-on experience that may open doors to future internships or full-time roles.

What are the key skills and qualifications needed to thrive as a temporary computer science student, and why are they important?

To thrive as a Temporary Computer Science Student, you need a solid grasp of programming fundamentals, algorithms, and data structures, typically supported by coursework in computer science or related fields. Familiarity with programming languages such as Python or Java, version control systems like Git, and basic software development tools is often expected. Initiative, problem-solving skills, and the ability to communicate technical concepts clearly help students stand out in this role. These skills and qualities are crucial for successfully learning, collaborating, and contributing to projects during a limited-term placement.

What is the difference between Temporary Computer Science Student vs Intern?

AspectTemporary Computer Science StudentIntern
CredentialsEnrolled in a computer science programTypically students or recent graduates
Work EnvironmentPart-time or short-term projects, often on-campus or remoteHands-on industry experience, often in office settings
Employer & Industry UsageEducational institutions, tech companies, startupsTech firms, software companies, corporate IT departments
Search & Comparison IntentLooking for short-term or part-time tech roles for studentsSeeking industry experience or entry-level positions

Temporary Computer Science Students and Interns both seek practical experience, but students are usually enrolled in academic programs and work part-time or on short-term projects, while interns are often recent graduates or students gaining industry exposure through structured internships.

What jobs can a temporary computer science student get?

A temporary computer science student can typically find roles such as intern, software development assistant, QA tester, or technical support staff. These positions often require basic programming skills, familiarity with tools like Git or IDEs, and may be part-time or project-based to accommodate student schedules.

Which job is best for a temporary computer science student?

A temporary computer science student can consider roles such as intern, part-time developer, or QA tester, which often require basic programming skills and familiarity with tools like Git or Python. These positions typically offer flexible schedules and provide practical experience relevant to their studies.

What cities near Beaverton, OR are hiring for Temporary Computer Science Student jobs?

Cities near Beaverton, OR with the most Temporary Computer Science Student job openings:

Temporary Data Engineer

nLIGHT

Vancouver, WA

Temporary

Medical, Dental, Vision

Re-posted 8 days ago


Job description

Who We Are
 
At nLIGHT, we are constantly on the cutting-edge of laser technology in a massively growing market. We are a leading provider of high-power semiconductors and fiber lasers for industrial, microfabrication, and aerospace & defense applications, to name a few. Our lasers are changing not only the way things are made, but also changing the things that can be made.
 
Headquartered in Camas, Washington, nLIGHT is a publicly listed company (NASDAQ: LASR).
We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within a high-tech manufacturing environment. This role will focus on integrating and analyzing data from multiple systems to identify trends, improve process understanding, and help predict manufacturing performance. The ideal candidate brings strong technical data skills, experience working with complex datasets, and the ability to communicate insights clearly to cross-functional stakeholders.  
 

This position is anticipated to last approximately 9 months.

Responsibilities 
    • Collect, clean, and structure data from multiple sources, including databases, APIs, and spreadsheets, to support meaningful analysis.
    • Develop, test, and apply statistical models, analytical methods, and machine learning techniques to solve business and manufacturing challenges. 
    • Create reports, dashboards, and visualizations that translate technical findings into clear insights for non-technical audiences. 
    • Partner with cross-functional teams, including Operations and Planning, to identify opportunities for improved performance and decision-making.
    • Present findings and recommendations to internal stakeholders in a clear, concise, and actionable manner. 
Requirements   
    • Strong SQL and relational database skills, including experience writing complex queries and working with Microsoft SQL Server and/or Azure SQL.
    •  Experience integrating and transforming data from multiple sources, including on-premises and cloud-based systems. 
    • Strong background in statistics, data analysis, and correlation methods, with proficiency in Python, R, or similar analytical tools. 
    • Knowledge of semiconductor, laser, or other advanced manufacturing processes is preferred. 
    • Demonstrated ability to work independently, manage complex data challenges, and communicate findings effectively to a range of audiences.
    • Advanced Excel skills are required; experience with Power BI is preferred. 
    • Experience working with complex enterprise data environments and large datasets. 
    • 3+ years of hands-on data analysis experience in a high-tech manufacturing, semiconductor, or similar environment is preferred. 
    • Master’s degree or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred. 
    • Lean, Six Sigma Green Belt, or Black Belt certification is a plus. 
nLIGHT is proud to offer comprehensive COMPENSATION AND BENEFITS: 
This is a fixed‑term (approximately 9 months), non-exempt role with a competitive pay and benefits.
Data Scientist pay range:  $45.00-$58.00 hourly
Other compensation and benefits
  • Eligible for health benefits on the 1st day of the month after your start date
  • Medical, Dental and Vision Benefits, including prescription and orthodontia with employee-paid premiums as low as $40.00 per pay period
  • Employee Assistance Program
  • Flexible Spending and Health Savings Accounts
  • Pet Insurance

nLIGHT is subject to US Export Control regulations. To qualify for this position, you must be a US Person (that is, a US citizen, lawful permanent resident, or protected individual granted asylum or refugee status).

Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or age. For more information about our commitment to equal employment opportunity, please see this government poster: Know Your Rights: Workplace Discrimination is Illegal. If you are an individual with a disability and need a reasonable accommodation in the application or hiring process, please contact Human Resources at (360) 566-4460 or HR@nlight.net.
E-Verify Participation: 
nLIGHT participates in the E-Verify program. This employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s Form I-9 to confirm work authorization. 
  
For more information, please review the following notices: 
  •  E-Verify Participation Poster  
  •  Right to Work Poster