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Temporary Data Engineering Jobs (NOW HIRING)

nLIGHT

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.

nLIGHT

Temporary Data Engineer

Vancouver, WA

$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.

nLIGHT

Temporary Data Engineer

Vancouver, WA

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.

The LaSalle Group

Manager of Data Engineering

Columbus, OH · On-site

$140K - $160K/yr

Manager of Data Engineering Overview A leading enterprise organization is seeking a Manager, Data ... LaSalle Network is the leading provider of direct hire and temporary staffing services. For over ...

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As of Aug 15, 2026, the average yearly pay for temporary data engineering in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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Temporary Data Engineer

nLIGHT

Vancouver, WA

$45 - $58/hr

Temporary

Medical, Dental, Vision

Re-posted 3 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.
    • Partnerwith cross-functional teams, including Operations and Planning, toidentifyopportunities 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, withproficiencyin Python, R, or similar analytical tools.
    • Knowledge ofsemiconductor,laser, or other advanced manufacturing processes ispreferred.
    • Demonstrated ability to work independently, manage complex data challenges, andcommunicate findingseffectively to a range of audiences.
    • Advanced Excel skills arerequired; experience with Power BI ispreferred.
    • 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 ispreferred.
    • Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related field ispreferred.
    • Lean, Six Sigma Green Belt, or Black Belt certification is a plus.
nLIGHT is proud to offer comprehensive COMPENSATION AND BENEFITS:
This is a fixedterm (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 orHR@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
Employment Type: Temporary Employee

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