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Insurance Data Engineer Jobs in Oregon (NOW HIRING)

OR ยท Hybrid

... engineering last mile to your ML engineering partner, and staying engaged through deployment ... OUTCOMES * Own the Insurance vertical's primary modeling work end-to-end with measurable ROAS ...

OR ยท Hybrid

... engineering last mile to your ML engineering partner, and staying engaged through deployment ... OUTCOMES * Own the Insurance vertical's primary modeling work end-to-end with measurable ROAS ...

AI Agent ML Engineer

Myrtle Point, OR ยท On-site +1

$165K - $190K/yr

Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence ... They may also be eligible to participate in medical, dental, vision insurance, disability and life ...

AI Agent ML Engineer

OR

$165K - $190K/yr

Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence ... They may also be eligible to participate in medical, dental, vision insurance, disability and life ...

Data Scientist

$96K - $134K/yr

Exposure to Large Language Model (LLM) concepts, prompt engineering, or modern NLP/GenAI frameworks ... Benefits Paid time off (PTO)Various health insurance options & wellness plansRetirement benefits ...

Test Engineer

Corvallis, OR ยท On-site

$73K - $113K/yr

Monitors quality data for test and product issues while implementing continuous test enhancements ... Dental insurance * Vision insurance * Long term/short term disability insurance * Employee ...

New

Manager, Technical Services

OR ยท On-site +1

$120K - $140K/yr

The role of the Data Engineering Manager focuses on mentoring, developing, and coaching ... Voluntary Life Insurance (Employee/Spouse/Child) * Employer Paid Short & Long Term Disability

New

Product Owner

Hillsboro, OR ยท On-site

$62/hr

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

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 ...

Staff Engineer

Portland, OR ยท 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 ...

Software Engineer, Backend

Hillsboro, OR ยท On-site

$155K - $222K/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

Roseburg, OR ยท On-site

$155K - $222K/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 ...

Showing results 41-60

Insurance Data Engineer information

What is an insurance data engineer?

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.
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:

Lead Data Scientist, AdTech

LP Careers Page

OR โ€ข Hybrid

Other

Re-posted 6 days ago


Job description

MUST HAVE:ย 

  • Proven experience in digital marketing, performance marketing, or the leadgen industry
  • Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired)
  • Strong modeling fundamentals: the ability to build effective models that drive business impact
  • Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud
  • Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, LTV modeling
  • Expert Python and SQL

EXPERIENCE: 5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact.

YOUR ROLE

Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency. This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis.

You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time. Your primary metric is ROAS.

OUTCOMES

  • Own the Insurance vertical's primary modeling work end-to-end with measurable ROAS impact
  • Deliver buying models that maintain positive ROAS and quality
  • Drive lead quality improvements across our portfolio of brands: Messaging, Funnels, Content/Listicles, and more resulting in measurable impact to revenue growth
  • Establish trusted, direct partnership with vertical business stakeholders
  • Produce trusted output: validated, documented, low correction burden
  • Identify and leverage net-new modeling opportunities the business has not flagged

COMPETENCIES

  • Business-first framing: Starts with the problem and the metric, not the model.
  • Full-stack ownership: Stays engaged from problem definition through deployed performance
  • Proactive communication: Closes loops without being chased
  • Collaborative: Leans on ML engineering for the last mile rather than working solo
  • Coachable: Seeks feedback and turns it into visible behavior change
  • Curiosity paired with delivery discipline

NICE TO HAVES

  • Sophisticated ML at companies where paid digital media is core to the business model
  • Creative embeddings work: incorporating embeddings of creatives, videos, headlines, and search into paid media models
  • Insurance domain experience
  • Creating state-of-the-art Ad Ranking algorithms
  • Modeling against ad-platform data points (Google, Meta, native)
  • LLMs / deep learning applied to personalization or content
  • Familiarity with Looker

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.