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Insurance Data Engineer Jobs in Oregon (NOW HIRING)

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Senior Business & Data Analyst

OR · Remote

$100K - $125K/yr

SQL and Data Engineering * Write and optimize complex SQL queries using CTEs, window functions ... Competitive salary * 100% paid coverage of medical, dental and vision insurance * Flexible PTO

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) ...

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 ...

SiriusPoint

OR

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 ...

Verathon, Inc.

$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 ...

Exponent Health

Reporting & Analytics Lead

OR · Remote

Mentor, grow, and develop a team of report developers and data analysts. Set clear goals, manage ... Experience in healthcare, pharmacy, or insurance data (claims, eligibility, payment flows)

New York Life

$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 ...

Inroads

OR

$85K/yr

... insurance. You will use a combination of statistics, programming, and domain knowledge to solve ... Lead data initiatives by gathering project requirements, selecting appropriate methodologies, and ...

Origami Risk LLC

Data Consultant

$92K - $115K/yr

Bachelor's Degree in Computer Science, Computer Engineering, Data Analytics, or a related field ... Insurance industry experience preferred. Benefits * Medical and Dental coverage available for ...

Imagine Pediatrics

OR · On-site

$135K - $160K/yr

... Engineering skills with experience in AWS, Tableau, dbt, Dagster, and distributed computing ... Competitive medical, dental, and vision insurance * Healthcare and Dependent Care FSA; Company ...

GHX

OR

$65K - $81K/yr

This position reports to the Senior Manager, Software Engineering Data Governance for the Data ... Other rewards and benefits include: health, vision, and dental insurance, accident and life ...

BlueLabs, Inc.

Data Analyst I

OR · On-site +1

$67K/yr

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

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 ...

Bausch + Lomb

AI Agent ML Engineer

Myrtle Point, OR · 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 ...

Bausch+Lomb Companies Inc.

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 ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Oregon

Insurance Data Engineer information

What health insurance covers Wegovy?

As an Insurance Data Engineer, understanding insurance coverage is essential. Coverage for Wegovy, a prescription weight management medication, varies by insurance plan and provider. Many health insurance plans, including some employer-sponsored plans and Medicare, may cover Wegovy if prescribed for approved indications, but prior authorization is often required.

What is the best cheapest insurance?

As an Insurance Data Engineer, evaluating the cheapest insurance involves analyzing data from multiple providers to identify affordable options that meet coverage needs. Comparing quotes, understanding policy details, and using data analysis tools can help find cost-effective insurance plans. However, the cheapest option may not always offer the best coverage, so balancing cost and coverage is essential.

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.

Does health insurance cover a pacemaker?

As an Insurance Data Engineer, you should know that health insurance typically covers pacemaker implantation and related procedures if deemed medically necessary, though coverage details vary by plan. Patients usually need prior authorization, and coverage may include device costs, surgery, and follow-up care. It is important to review specific policy terms and provider networks for accurate coverage information.

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.

Who does the cheapest insurance?

Insurance Data Engineers analyze data to help insurance companies identify cost-effective policies and pricing strategies. The cheapest insurance options typically depend on factors like coverage needs, customer profile, and provider discounts, rather than a specific role. Consumers should compare quotes from multiple providers to find the most affordable coverage.

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
Senior Business & Data Analyst

Senior Business & Data Analyst

Upgrade

OR • Remote

$100K - $125K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

About the Role

We are looking for a Senior Business and Data Analyst who wants to help build something, not just run it. You will serve as a strategic analytics partner to business leaders across Flex Pay and the broader Upgrade commercial organization. That means owning executive-level deliverables, shaping how the team operates, and having a real say in where analytics goes next. You will transform complex data into clear, actionable insights, drive smarter decisions, improve operational performance, and shape business strategy through analytics.

What You'll Do:

Analytics and Business Intelligence

  • Conduct advanced data analysis, mining, and trend identification to surface meaningful business insights.
  • Develop and maintain KPIs, performance management frameworks, and data quality standards.
  • Perform root cause analysis, statistical hypothesis testing, and predictive and prescriptive analytics.
  • Own data governance and quality assessment practices.

SQL and Data Engineering

  • Write and optimize complex SQL queries using CTEs, window functions, joins, and stored procedures.
  • Design and maintain data models, ETL/ELT pipelines, and data warehouse structures.
  • Perform data validation, reconciliation, and transformation to ensure analytical accuracy.

Forecasting and Reporting

  • Measure and continuously improve forecast accuracy using trend analysis, seasonality analysis, and statistical methodologies.
  • Develop scenario models to support strategic decisions.
  • Design executive dashboards, scorecards, and interactive reports that tell a clear story.
  • Own QBR preparation and deliver findings directly to senior leadership, including the executive team. You will translate analytical work into business narratives that influence real decisions at the company level.
  • Build automated reporting solutions that scale across the organization.

Business Partnership and Executive Communication

  • Partner with stakeholders to gather requirements, document processes, and align on priorities.
  • Present technical analysis to C-suite leaders as business narratives and strategic recommendations.
  • Facilitate meetings, lead cross-functional collaboration, and support change management initiatives.

What We Look For:

  • Advanced SQL proficiency including complex joins, CTEs, window functions, and query optimization.
  • Experience with Tableau, Microsoft Excel, Redshift, and Databricks.
  • You use AI tools like Claude or ChatGPT as a real part of your analytical workflow, not as a novelty. You know when to use them, how to verify their output, and how to integrate them into how you work.
  • Strong foundation in statistical analysis, forecasting methodologies, and data modeling.
  • Familiarity with ETL/ELT concepts and data warehouse design.
  • Skilled at connecting metrics to business outcomes and identifying key performance drivers.

What We Offer You: 

  • Competitive salary
  • 100% paid coverage of medical, dental and vision insurance 
  • Flexible PTO
  • Competitive 401(k) 
  • Opportunities for professional growth and development 
  • Paid parental leave
  • Health & wellness initiatives

The compensation range of this position in San Francisco, CA is USD $100,000-$125,000 plus equity and benefits. Within this range, an individual's pay will be dependent on a variety of factors, including without limitation, job-related knowledge, skills, education, and experience.

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