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Insurance Data Engineer Jobs in Bothell, WA (NOW HIRING)

Trupanion

Data Engineer

Seattle, WA · On-site

$130K - $150K/yr

Company Description Trupanion is a leading provider of medical insurance for cats and dogs in North ... The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and ...

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

Company Description Trupanion is a leading provider of medical insurance for cats and dogs in North ... The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and ...

Amazon

Data Engineer, WWASFT

Seattle, WA · On-site

$130K - $156K/yr

As a Data Engineer, you will be working in one of the world's largest and most complex data ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

Amazon

Data Engineer, Amazon Fuse

Seattle, WA · On-site

$130K - $156K/yr

The Fuse Data Analytics (DA) team is looking for a Data Engineer to influence Fuse's decisions and ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

Sarian, Inc.

AWS Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Role: AWS Data Engineer Location: Seattle, WA Onsite position Fulltime position *****NO Corp to ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional ...

Coupang

Staff Data Engineer

Seattle, WA · On-site

$164 - $282/hr

Partner with Data Science, Engineering, and Product to enable reliable, accurate logging ... Medical/Dental/Vision/Life, AD&D insurance * Flexible Spending Accounts (FSA) & Health Savings ...

Coupang

Director, Data Engineer

Seattle, WA · On-site

$174 - $290/hr

Partner with Data Science, Engineering, and Product to enable reliable, accurate logging ... Medical/Dental/Vision/Life, AD&D insurance * Flexible Spending Accounts (FSA) & Health Savings ...

Socket.dev

Data Engineer I, Fire TV

Seattle, WA · On-site

$101 - $160/hr

The FAA Decision Science organization is looking for a Data Engineer who is excited to build the ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

Amazon

Data Engineer I, Fire TV

Seattle, WA · On-site

$130K - $156K/yr

The FAA Decision Science organization is looking for a Data Engineer who is excited to build the ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

Amazon

Data Engineer II, DBS BI

Bellevue, WA · On-site

We are working to rebuild and revolutionize data engineering and business intelligence systems ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

PEMCO

Senior Software Engineer in Test (Sr. SDET)

Seattle, WA · On-site

$125K - $163K/yr

The successful candidate must be able to understand and test insurance data domains such as policy ... Partner with engineering teams to shift quality practices earlier in design, development, code ...

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Showing results 1-20

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Bothell, WA

Insurance Data Engineer information

See Bothell, WA salary details

$49.7K

$145K

$198.4K

How much do insurance data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for insurance data engineer in Bothell, WA is $145,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 per year, depending on experience, location, and employer.

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.

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 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.

What are popular job titles related to Insurance Data Engineer jobs in Bothell, WA?

For Insurance Data Engineer jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Bothell, WA look for?

The top searched job categories for Insurance Data Engineer jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Insurance Data Engineer jobs?

Cities near Bothell, WA with the most Insurance Data Engineer job openings:

Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Bothell, WA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $145,008 per year, or $69.7 per hour.

Data Engineer

Trupanion

Seattle, WA • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 25 days ago

Trupanion rating

9.6

Company rating: 9.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

5th of 315 rated insurance

Job description

Company Description
Trupanion is a leading provider of medical insurance for cats and dogs in North America. Our mission is to help loving, responsible pet owners budget and care for their pets. At Trupanion, we offer a collaborative, casual, and pet-friendly environment where everyone is encouraged to be themselves.
Job Description
The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and auditable data systems on our modern Databricks Lakehouse platform hosted in Microsoft Azure. In this role, you will be on the cutting edge of data engineering-thinking, designing, and documenting data marts.
We are looking for a dynamic, forward-thinking engineer who is passionate about the latest developments in the data ecosystem and places the utmost importance on data quality and governance. You will work closely with your team and peers to drive the evolution of continuous delivery, automated quality frameworks, and agile data products.
This position is open across the United States with a preference for those in Seattle or the East Coast time zone. Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual, pet-friendly office at least 3 days a week.
What you will do
  • Data Ingestion & Pipeline Reliability: Responsible for ensuring continuous, accurate data availability by monitoring, troubleshooting, and optimizing batch and real-time streaming pipelines across the Medallion architecture to deliver stable, high-availability data feeds with minimal downtime.
  • Data Mart Delivery & Business Modeling: Responsible for delivering query-ready Gold-layer data marts, dimensional models, and aggregate tables by partnering directly with Data Analytics and Data Science teams to map business requirements into high-performance user-facing schemas.
  • Data Contract Validation & Ingestion Quality: Responsible for protecting the integrity of the Lakehouse by configuring automated validation gates and alerts at the ingestion stage to catch and block corrupt or non-compliant source data
  • Data Quality Frameworks & Precision: Responsible for maintaining flawless data integrity and trust across all data products by writing, deploying, and maintaining automated data quality test suites and expectations for key transformation stages.
  • Data Governance & Asset Discoverability: Responsible for ensuring all data assets are easily discoverable by documenting schemas, applying metadata tags
  • Cross-Functional Collaboration & Autonomy: Responsible for serving as an autonomous data engineering partner to downstream teams by proactively investigating data discrepancies, resolving support tickets, and aligning business definitions to unblock analysts and data scientists.

Experience you have:
  • Education: Bachelor's level degree or higher in Computer Science, Engineering, or equivalent practical experience.
  • Core Data Engineering: Minimum 2+ years of experience designing, building, and enhancing high-performance pipelines (ETL/ELT) and building optimized Data Marts across the enterprise.
  • Databricks Ecosystem: Minimum 2+ years of deep technical experience within a Databricks-centric environment leveraging:
    • Delta Lake & Apache Spark (PySpark / SparkSQL)
    • Unity Catalog for data governance, lineage, and documentation
    • Delta Live Tables (DLT) or similar orchestration tools
  • Data Quality First: Proven experience implementing robust data quality, testing, and monitoring frameworks (e.g., Great Expectations, Databricks Expectations, or custom data quality gates) to ensure flawless data integrity.
  • DevOps & Lifecycle: Experience required with software and infrastructure change management, CI/CD pipelines (Azure DevOps/GitHub Actions), and source code control.

What you'll bring:
  • Modern Lakehouse Architecture: Passion for the latest industry trends, including the Medallion Architecture (Bronze/Silver/Gold), Data Contracts, and decentralized data design.
  • Design & Documentation: Strong conceptual thinker who doesn't just build, but actively designs and documents data assets, schemas, and definitions directly within Unity Catalog.
  • Pipeline Versatility: Hands-on experience implementing data pipelines for a variety of flows, including batch data integrations, real-time streaming analytics (Structured Streaming), and big data analytics.
  • Observability: Experience setting up comprehensive logging, alerting, and monitoring solutions for Spark jobs and data pipelines.
  • Agile & Dynamic Mindset: Thrives in a fast-paced, Agile software development environment, with a strong proactive drive to learn and adopt new tools and features as the Databricks ecosystem evolves.

Compensation:
  • The base salary range for this position is $130,000 - $150,000, on a full-time schedule.
  • Along with base compensation, Trupanion employees are currently eligible for monthly bonuses.
  • We want all employees to be invested in Trupanion's success, so we grant Restricted Stock Units to all new team members. Our new hire grants vest over 4 years.

Qualifications
Additional Information
Benefits and Perks:
  • Full medical, dental, and vision benefits at no cost to the employee
  • Four weeks of paid time off and 9 paid float holidays (you can decide which days are most important to you!)
  • Five-week sabbatical after five years of employment
  • Open, casual, pet-friendly, and fun office environment
  • Free medical health insurance for your pet (1 dog or cat)
  • Paid time off to volunteer at nonprofit organizations
  • Seattle Office Amenities: Free on-site gym, free dog walking services for office pets during business hours, free parking, and paid ORCA cards.

For more information about Trupanion, visit https://trupanion.com/about
Learn more about how Trupanion has revolutionized our industry and the reimbursement model: https://www.youtube.com/watch?v=vdWZ4KHiPTQ
Trupanion is an equal-opportunity employer and embraces diversity. We are committed to building a team that represents a variety of backgrounds, abilities, perspectives, and skills.
We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodations.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

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