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Insurance Data Engineer Jobs in Oregon (NOW HIRING)

Data Engineering * Data Modeling * Digital Twins * Hybrid Edge+Cloud Systems * Extract Transform ... Dental insurance * Vision insurance * Long term/short term disability insurance * Employee ...

OR · Hybrid

... data engineering, coding, business understanding and client engagement. * Our company is small ... are Insurance Payment Integrity experience with diverse skills to help us build excellent ...

Associate Data Solutions Engineer

OR · Remote

$114K - $137K/yr

The engineer works closely with internal stakeholders across departments to ensure data is reliable ... Company short-term and long-term disability insurance. * Company culture that recognizes its ...

Transform data into well-documented, tested, and trusted datasets for analysis and reporting ... insurance plan options * Health Savings Account and Flexible Spending Accounts * Bi-weekly HSA ...

Partner with BI, analytics, engineering, product, finance, and business teams to improve data trust ... Life Insurance- Basic, Voluntary, and AD amp;D * Healthcare- Medical, Dental, Vision, and MDLive

... insurance, and a 401(k) with company match. We offer vacation and sick leave benefits (under a ... Prior experience working with data engineers and understanding of technical requirements.

OR · On-site

$150K - $214K/yr

Overview We're seeking a Principal Engineer to establish data architecture excellence across our ... Other rewards and benefits include: health, vision, and dental insurance, accident and life ...

Senior Business & Data Analyst

OR · Remote

$100K - $125K/yr

SQL and Data Engineering * Write and optimize complex SQL queries using CTEs, window functions ... Medical, dental and vision insurance with employer paid options * Flexible PTO * Competitive 401(k)

Senior Backend Software Engineer, ObservoAI

OR · Remote

$122K - $161K/yr

Drive the development and optimization of ML-driven data routing and transformation engines to ... Grandparent leave Insurance & Financial Security * Medical, dental, and vision coverage * 401(k) ...

$77K - $97K/yr

Advises on system configuration, integrations, and insurance data workflows to improve performance ... Works with Engineering and Cloud Operations on environment upgrades, migrations, and performance ...

OR

$135K - $225K/yr

The Role Senior Analytics Engineer The Analytics Engineering team owns how Pantheon's data becomes ... Comprehensive medical insurance including Health, Dental and Vision * Paid parental leave (plus ...

OR · On-site

Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet ... Premier health insurance plan * 401K matching * Unlimited vacation * Paid sick, personal, and ...

... specialty insurance. OdysseyRe offers a broad range of property, casualty, and specialty ... The Data Protection Specialist will focus on providing analysis and engineering support for the ...

$115K - $231K/yr

Build Retrieval-Augmented Generation (RAG) pipelines, vector search capabilities, and secure data ... life insurance, paid holidays, paid time off and a 401(k) matching plan. For more information ...

OR · On-site

Work with data engineering teams to integrate data into our Bordereaux Management System (BMS ... Pet Insurance * Tuition reimbursement * Generous PTO * Flexible work arrangement * Fully stacked ...

$175K - $250K/yr

This role sits at the intersection of actuarial modeling, data engineering, and cloud technology ... Background in insurance, actuarial modeling, or financial reporting. Familiarity with modern DevOps ...

Senior Software Engineer II

OR · Remote

$180K - $210K/yr

Strong partnerships with Product and Data Science ensure every technical decision is aligned with ... Health Insurance * Dental Insurance * Vision Insurance * Flexible Spending Account (FSA) * Short ...

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Showing results 1-20

Insurance Data Engineer information

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 Oregon? For Insurance Data Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Oregon look for? The top searched job categories for Insurance Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Insurance Data Engineer jobs? Cities in Oregon with the most Insurance Data Engineer job openings:
Principal Data Solutions Architect

Principal Data Solutions Architect

Hp

Corvallis, OR

$147K - $230K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 6 days ago


HP rating

7.7

Company rating: 7.7 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

61st of 142 rated electronics manufacturers


Job description

Principal Data Solutions Architect

Description -

Principal Data Solutions Architect


Job Summary

HP PageWide Industrial operates at the intersection of highperformance hardware, industrial software, and realtime data at factory scale. This role is for a senior architect who wants to shape how industrial presses connect to cloud platforms, partner ecosystems, and AIenabled solutions-unlocking realtime productivity insights and enabling the next generation of intelligent, autonomous press operations.

This role is responsible for partnering across solution delivery organizations to define the PWI press data strategy and APIs that integrate our presses with customer factory management systems, third-party analytics and workflow solutions, robotics, and the HP PrintOS platform and applications.

Responsibilities

  • Own and lead the end-to-end ecosystem integration architecture; consider the data, systems, and workflows spanning many domains including presses, jobs, attached or involved devices, AI capabilities and agents, and partner systems within factory settings and associated cloud services.
  • Set architectural guardrails that ensure security, scalability, reliability, and customer extensibility.
  • Define and evolve the technical roadmap and target-state architecture for press-to-factory and cloud ecosystem integrations.
  • Serve as the architectural authority to define factory-level and partner-facing API standards, contracts, and governance.
  • Partner with internal teams to ensure robust data models, schemas, versioning, and lifecycle management.
  • Lead evaluation and adoption of industry standards and emerging opportunities.
  • Explore, prototype, and validate AI-enabled use cases leveraging press and factory data.
  • Engage directly with customers and partners as needed for technical escalations, integration strategy alignment, and early adopter and pilot engagements.
  • Leverage recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.
  • Build and manage relationships throughout the Industrial Print organization.
  • Establish scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation.
  • Provide guidance and mentoring to less experienced staff members.

Education & Experience Required

  • Four-year or Graduate Degree in Computer Science, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
  • Typically has 10+ years of work experience designing and delivering high-performant industrial software, data engineering, cloud platforms, or a related field.
  • Experience in industrial automation, smart manufacturing, IIoT, robotics, or factory software ecosystems is appreciated.
  • Hands-on experience with applied AI/ML systems, analytics platforms, or data science collaboration.
  • Familiarity with cybersecurity considerations in industrial and cloud-connected environments.
  • Experience working with external partners, standards bodies, or large enterprise customers.

Desirable Knowledge & Skills

  • Agile Methodology
  • AI Domains for Industrial Applications
  • computer vision, agentic AI, predictive maintenance, anomaly detection, troubleshooting
  • Amazon Web Services
  • Big Data
  • Data Analysis
  • Data Engineering
  • Data Modeling
  • Digital Twins
  • Hybrid Edge+Cloud Systems
  • Extract Transform Load (ETL)
  • Product Leadership
  • Python (Programming Language)
  • Roadmap Develoiper
  • Scalability
  • SQL (Programming Language)
  • Software Architecture
  • System Analysis

Cross-Org Skills

  • Effective Communication
  • Results Orientation
  • Learning Agility
  • Digital Fluency
  • Customer Centricity
  • Sound Judgment
  • Creative Understanding

Impact & Scope

  • Impacts large functions and leads large, cross-division functional teams or projects.

Complexity

  • Provides highly innovative solutions to complex problems within established policy.

Disclaimer

  • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Salary

The pay range for this role is$147,050to$230,850USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)


The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job -

Software

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

Relocation -

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP'sEEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"


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About HP

Sourced by ZipRecruiter

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line. Our history: HP's commitment to diversity, equity and inclusion - it's just who we are. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Palo Alto, CA, US

Year founded

1939