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Insurance Data Engineer Jobs in Portland, OR (NOW HIRING)

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred ... Pet Insurance nLIGHT is subject to US Export Control regulations. To qualify for this position, you ...

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred ... Pet Insurance nLIGHT is subject to US Export Control regulations. To qualify for this position, you ...

Device Engineer

Vancouver, WA · On-site

$103K - $130K/yr

Data analysis capabilities and preferred coding skills in Python, SQL, Matlab, C * Suggest and ... Aflac Supplemental Insurance * Paid Bereavement Leave and Jury Duty * Tuition Assistance Program

Staff Engineer

Portland, OR · On-site

$76K - $118K/yr

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

Act as a functional bridge between business users and data engineering / BI teams. * Stakeholder ... Experience working in Enterprise or Regulated environments (Healthcare, Insurance, BFSI)

Software Engineer, Backend

Portland, OR · On-site

$152K - $219K/yr

Meet the Team The Time Series Data (TSD) team builds andoperatesthe time-series database ... insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and ...

Software Engineer, Backend

Hillsboro, OR · On-site

$152K - $219K/yr

Meet the Team The Time Series Data (TSD) team builds andoperatesthe time-series database ... insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and ...

Electrical Engineer

Vancouver, WA · On-site

$75K - $95K/yr

Responsible for reviewing electrical shop drawings and data. Interface with suppliers, clients ... Company-paid Life Insurance, Short-Term Disability, and Long-Term Disability * Voluntary Life ...

Device Engineer

Vancouver, WA · On-site

$103K - $130K/yr

Data analysis capabilities and preferred coding skills in Python, SQL, Matlab, C * Suggest and ... Aflac Supplemental Insurance * Paid Bereavement Leave and Jury Duty * Tuition Assistance Program

Perform routine billing and data analysis to monitor system accuracy and identify engineering ... In addition, PacifiCorp matches 100% of the first 6% you contribute. • Life insurance • ...

Device Engineer

Vancouver, WA · On-site

$103K - $130K/yr

Data analysis capabilities and preferred coding skills in Python, SQL, Matlab, C * Suggest and ... Aflac Supplemental Insurance * Paid Bereavement Leave and Jury Duty * Tuition Assistance Program

Collect soil, rock, and groundwater samples & data; evaluate & interpret data. * Perform lab ... insurance, eligibility for annual bonuses, and continuing education and training reimbursement ...

Collect soil, rock, and groundwater samples & data; evaluate & interpret data. * Perform lab ... insurance, eligibility for annual bonuses, and continuing education and training reimbursement ...

Perform routine billing and data analysis to monitor system accuracy and identify engineering ... In addition, PacifiCorp matches 100% of the first 6% you contribute. • Life insurance • ...

Data analysis capabilities and preferred coding skills in Python, SQL, Matlab, C * Suggest and ... Aflac Supplemental Insurance * Paid Bereavement Leave and Jury Duty * Tuition Assistance Program

Perform routine billing and data analysis to monitor system accuracy and identify engineering ... Life insurance Additional voluntary benefits, including pet insurance Tuition Assistance Mass ...

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Insurance Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do insurance data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for insurance data engineer in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

What are Insurance Data Engineers?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

What are the key skills and qualifications needed to thrive as an Insurance Data Engineer, and why are they important?

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

How does an Insurance Data Engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
What are popular job titles related to Insurance Data Engineer jobs in Portland, OR? For Insurance Data Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Portland, OR look for? The top searched job categories for Insurance Data Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Insurance Data Engineer jobs? Cities near Portland, OR with the most Insurance Data Engineer job openings:
Temporary Data Scientist

Temporary Data Scientist

nLIGHT

Vancouver, WA

Temporary

Medical, Dental, Vision

Re-posted 11 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 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