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Insurance Data Engineer Jobs in Oregon (NOW HIRING)

360training

Data Architect Manager

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

Origami Risk LLC

(Senior) Corporate Data Analyst

$67K - $101K/yr

... 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.

New York Life

$147K - $211K/yr

GCP Professional certifications (Cloud Architect, DevOps Engineer, or Data Engineer). * Experience in regulated industries such as insurance, financial services, or healthcare. * Strong background in ...

Care Access

Enterprise Performance Analytics Engineer

OR · Remote

$80K - $110K/yr

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 ...

SentinelOne

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) ...

Origami Risk LLC

$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 ...

Pantheon Systems, Inc

OR · On-site

$135K - $188K/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 ...

BlueLabs, Inc.

OR

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 ...

Signifyd

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 ...

Waymark

Data/AI Scientist II

OR · On-site +1

$95K - $127K/yr

You will work closely with senior data scientists and engineers to learn how ideas move from ... Life Insurance: Basic life insurance to give you peace of mind. Paid Time Off: 20 vacation days ...

Daikinapplied

OR

This is a highly visible role that blends engineering depth with commercial impact. This role ... Multiple medical insurance plan options + dental and vision insurance * 401K retirement plan with ...

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Showing results 21-40

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Oregon

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:
Insurance Data Engineer jobs near you

Data Architect Manager

360training

Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 5 days ago

Job description

360training
At 360training, we’re more than an online training provider—we’re on a mission to empower people and organizations to thrive. As a fast-growing leader in online and live training across multiple industries, we deliver regulatory-approved training and certifications that power careers and businesses.
Our culture is grounded in two values: Deliver Results and Do the Right Thing. We operate as a collaborative, performance-driven organization where data plays a critical role in shaping strategy and outcomes. If you’re excited to turn analytics into impact and influence meaningful decisions, 360training is the place for you.
This is a remote position and we are looking to hire in the following states:
AZ, FL, GA, NJ, PA, TN, TX, UT, ID, MI, MO and WI
THERE IS NO VISA SPONSORSHIP FOR THIS ROLE
Role Summary
360training is looking for a hands-on data platform leader to help modernize our data architecture and build the foundation for AI, analytics, and trusted reporting.
This role will help design and deliver a modern cloud data platform, with an emphasis on the Azure ecosystem, while bringing strong experience from modern platforms such as Microsoft Fabric, Databricks, Snowflake, Synapse, AWS, or similar technologies. The right candidate is both technical and practical: someone who can set architecture patterns, guide engineers, improve legacy data environments, and personally dive into implementation details when needed.
This is not a traditional BI reporting role. We need someone who understands modern data platforms, AI-ready data architecture, medallion or lakehouse design patterns, governance, schema evolution, and how to create reliable data products that can support reporting, analytics, applications, data science, and AI-enabled workflows.
Responsibilities
  • Lead the design and implementation of modern cloud data-platform capabilities, with a primary focus on Azure-based architecture and delivery.
  • Establish practical patterns for ingestion, transformation, medallion-style data layers, data quality, lineage, governance, security, testing, and consumption.
  • Build scalable approaches for onboarding new sources, tables, columns, attributes, and acquired-company data without creating brittle one-off solutions.
  • Create governed data products that can support Power BI, analytics, operational reporting, data science, AI search, summarization, predictive analytics, and future agent-based workflows.
  • Move business logic, metric definitions, and reusable transformations into governed, version-controlled platform layers rather than scattered reports, spreadsheets, scripts, or stored procedures.
  • Partner with BI, analytics, engineering, product, finance, and business teams to improve data trust, reporting reliability, platform usability, and delivery speed.
Required Experience
  • 7+ years of experience in data engineering, data architecture, analytics engineering, or cloud data-platform delivery.
  • Hands-on experience building or modernizing cloud data platforms using Azure, Microsoft Fabric, Databricks, Snowflake, Synapse, AWS, or similar technologies.
  • Strong understanding of lakehouse, medallion, data warehouse, and data modeling patterns, including when dimensional modeling is useful and when it should not drive the entire architecture.
  • Experience with tools such as Azure Data Lake, Azure Data Factory, Microsoft Fabric, Databricks, Synapse, Power BI, Purview, dbt, Snowflake, SQL, Python, Delta Lake, or similar technologies.
  • Practical experience with schema evolution, metadata-driven ingestion, pipeline automation, data quality checks, lineage, security, access control, documentation, and observability.
  • Experience preparing enterprise data for AI-enabled use cases, such as governed data access, semantic consistency, search, summarization, data science, predictive analytics, or agent-based workflows.
  • Strong SQL skills and the ability to design, review, debug, and optimize data pipelines, models, and transformations.
  • Experience improving legacy data environments with complex pipelines, inconsistent definitions, fragmented reporting logic, Power BI dependencies, stored procedures, or manual processes.
  • Ability to lead technical execution while communicating clearly with business and technology stakeholders.
  • Hands-on leadership style with the ability to set standards, guide a small team, and still build, review, troubleshoot, and deliver directly when needed.
We Offer Great Benefits:
  • Competitive salary and annual bonus
  • Flexible time off and company recognized holidays
  • 401k Pension Plan with company match contributions
  • Short-Term and Long-Term Disability
  • Life Insurance- Basic, Voluntary, and AD amp;D
  • Healthcare- Medical, Dental, Vision, and MDLive
  • Flexible spending amp; Health Savings Accounts (HSA)
  • Employee Assistance Program (EAP

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