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Temp Raisers Edge Database Jobs in Portland, OR (NOW HIRING)

Who We Are At nLIGHT, we are constantly on the cutting-edge of laser technology in a massively ... Collect, clean, and structure data from multiple sources, including databases, APIs, and ...

Who We Are At nLIGHT, we are constantly on the cutting-edge of laser technology in a massively ... Collect, clean, and structure data from multiple sources, including databases, APIs, and ...

Who We Are At nLIGHT, we are constantly on the cutting-edge of laser technology in a massively ... Collect, clean, and structure data from multiple sources, including databases, APIs, and ...

Description Who We Are At nLIGHT, we are constantly on the cutting-edge of laser technology in a ... Collect, clean, and structure data from multiple sources, including databases, APIs, and ...

Human Research Coordinator

Beaverton, OR · On-site

$51 - $56.67/hr

Temporary Salary: $51-56.67 Hourly up to $56.67/hr Start Date: Jun 1, 2026 Human Research ... research databases Why This Role This is a unique opportunity to contribute to cutting-edge ...

Temp Raisers Edge Database information

See Portland, OR salary details

$14

$34

$67

How much do temp raisers edge database jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for temp raisers edge database in Portland, OR is $34.15, according to ZipRecruiter salary data. Most workers in this role earn between $22.45 and $41.83 per hour, depending on experience, location, and employer.

What is the difference between Temp Raisers Edge Database vs Data Entry Specialist?

AspectTemp Raisers Edge DatabaseData Entry Specialist
CredentialsBasic computer skills, familiarity with Raisers EdgeTyping speed, basic computer skills
Work EnvironmentNon-profit organizations, fundraising departmentsVarious industries, administrative settings
Employer & Industry UsageNon-profits, fundraising teamsCorporate, healthcare, government sectors
Common Search & ComparisonYesNo

The Temp Raisers Edge Database role focuses on managing donor data within Raisers Edge for non-profit organizations, requiring familiarity with the software. In contrast, a Data Entry Specialist may work across various industries, handling general data input tasks. While both roles involve data management, the Temp Raisers Edge Database is specialized for fundraising and donor management, making it more niche-specific.

What are the most commonly searched types of Raisers Edge Database jobs in Portland, OR? The most popular types of Raisers Edge Database jobs in Portland, OR are:
What are popular job titles related to Temp Raisers Edge Database jobs in Portland, OR? For Temp Raisers Edge Database jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Temp Raisers Edge Database jobs in Portland, OR look for? The top searched job categories for Temp Raisers Edge Database jobs in Portland, OR are:
What cities near Portland, OR are hiring for Temp Raisers Edge Database jobs? Cities near Portland, OR with the most Temp Raisers Edge Database job openings:
Infographic showing various Temp Raisers Edge Database job openings in Portland, OR as of May 2026, with employment types broken down into 54% Full Time, 20% Part Time, and 26% Temporary. Highlights an 100% In-person job distribution, with an average salary of $71,039 per year, or $34.2 per hour.
Temporary Data Scientist

Temporary Data Scientist

nLIGHT

Vancouver, WA

Full-time, Temporary

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 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 Scientist for a 9-month assignment 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), exempt role with a competitive salary and full benefits.
Data Scientist pay range:  $ annually
Other compensation and benefits
  • Target Cash Bonus of 6% of earned wages
  • Eligible for Restricted Stock Unit grants
  • 4 weeks of Paid Time Off per year 
  • 10 paid Holidays 
  • 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 
  • Flexible Spending and Health Savings Accounts  
  • Employee Stock Purchase Plan  
  • 401(k) with company match and immediate vesting  
  • Company paid Short-Term and Long-Term Disability, and Life & AD&D Insurance 
  • Employee Assistance Program 
  • Aflac Supplemental Insurance 
  • Paid Bereavement Leave and Jury Duty 
  • Tuition Assistance Program 
  • 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 Â