1

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

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data ... Medical, prescription, vision, dental, long-term care and life insurance plans are offered to ...

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 ...

New

Data Engineer II

Bellevue, WA · On-site

$144K - $180K/yr

Data Engineer II Bellevue, WA -Ads - Full time - R30286 What you'll do: * Own the design ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

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 ...

Data Engineer II, Intl. Seller Services

Seattle, WA · On-site

$130K - $156K/yr

We are a team of Data Engineers working closely with Applied Scientists, Data Scientists, and ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

Data Engineer III

Redmond, WA · On-site

$130K - $156K/yr

We are on the hunt for a Data Engineer to own the data processing pipeline and develop algorithms ... Dental Insurance. * Health insurance. * Vision insurance. * We are an equal-opportunity employer ...

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 ...

The Principal Data Engineer Opportunity Okta's Data Engineering team is on a mission to accelerate ... vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental ...

Senior Data Engineer

Seattle, WA · On-site

$128K - $160K/yr

Grailed is looking for a Senior Data Engineer to help us build and scale the data infrastructure ... insurance options). To determine starting pay within the hiring range, we carefully consider a ...

Data Engineer, Amazon Ads

Seattle, WA · On-site

$130K - $156K/yr

We're looking for a senior Data Engineer who brings: - Deep SQL fluency and 3+ years architecting ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

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

Qualifications: * 3+ years in a data quality, ML data engineering or applied ML role. * Experience ... Comprehensive Benefits Package including Health, Dental, and Vision Insurance * 401(k) Retirement ...

next page

Showing results 1-20

Insurance Data Engineer information

See Kirkland, WA salary details

$50.6K

$147.5K

$201.8K

How much do insurance data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for insurance data engineer in Kirkland, WA is $147,483.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,200.00 and $156,300.00 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.

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 Kirkland, WA?

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

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

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

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

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

$90K - $120K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


Job description

Description

Shannon & Wilson is a leading geotechnical engineering firm dedicated to delivering innovative solutions in infrastructure, transportation, and environmental projects. As part of our digital transformation journey, we are investing in modern data platforms and analytics capabilities to support better decision-making and operational excellence.


Job Summary:

We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our engineers, supporting staff, and leadership have reliable, trusted access to data for project delivery, reporting, and strategic insights.


Responsibilities:

     Platform Operations & Maintenance

     - Administer and monitor Microsoft Fabric (or Azure Synapse/Lakehouse), Azure SQL Databases, and Power BI workspaces.

     - Ensure data pipelines, notebooks, and scheduled refreshes run reliably and on time.

     - Implement monitoring, alerting, and cost optimization strategies for the platform.

     Data Engineering & Integration

     - Build, maintain, and optimize ingestion pipelines from internal systems (ERP, project management software) and external data sources.

     - Design and maintain clean, curated data models to support reporting and analytics needs.

     - Collaborate with business analysts to ensure data structures meet business requirements.

     Governance & Security

     - Apply data governance standards for naming conventions, schema design, and access control.

     - Work with IT to enforce security policies, manage permissions, and ensure compliance with client and regulatory requirements.

     Continuous Improvement

     - Stay current with Microsoft's data platform capabilities (Fabric, Power BI, Azure Data Factory, etc.).

     - Recommend new features, automation, or process improvements to enhance reliability and usability.

     - Partner with stakeholders to identify and implement new use cases for analytics and reporting.

Requirements

  • Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent experience).
  • Must have 3+ years of experience with Microsoft data stack (Azure SQL Database, Azure Data Factory, Synapse, Power BI, or Fabric).
  • Strong SQL development skills and experience with data modeling (star/snowflake schema) required.
  • Hands-on experience with ETL/ELT pipelines and automation scheduling required.
  • Familiarity with cloud-based data security and access control practices.
  • Experience with Microsoft Fabric Lakehouse and Mirrored Databases preferred.
  • Familiarity with engineering or construction industry data (projects, cost, schedule) preferred.
  • Python or Spark experience for data transformation preferred.
  • Knowledge of DevOps/Git-based version control for data pipelines preferred.
  • Strong collaboration skills - able to work with project managers, analysts, and IT staff.
  • Excellent troubleshooting and problem-solving skills.
  • Continuous improvement mindset with willingness to learn and adopt new technologies.
  • Clear communication skills (both technical and business-oriented).

Applicants must be authorized to work in the United States. Shannon & Wilson will not sponsor applicants for work visas.


Level Placement:

Typically, depending on an applicant's education, experience, other qualifications they possess, if they are a fit for the company and local office culture, and the current business needs, an Entry-Level Data Engineer typically would be placed at a Shannon & Wilson Professional I, II, III, or IV level with annual compensation ranging from $90,000 - $120,000.


Shannon & Wilson is committed to providing a comprehensive total rewards package that includes the following benefits:  

  • Employee stock ownership  
  • Medical, prescription, vision, dental, long-term care and life insurance plans are offered to employees (and their families).  
  • Pre-tax health and daycare FSA  
  • Profit sharing and 401(k) plans with annual safe-harbor contributions  
  • 10 - 20 paid vacation days per year for full-time employees, based on years of experience (prorated for part-time employment) 
  • Sick leave accrues based on state requirements 
  • 9 paid holidays per year + 1 personal holiday  
  • Paid volunteer day  
  • Paid time off for bereavement and jury duty  
  • Two weeks of paid parental leave  
  • Lunch & Live wellness webinars and an Employee Assistance Program 
  • Mentorship Program 
  • Tuition Reimbursement 
  • Free parking  

Shannon & Wilson is an Equal Opportunity Employer

Shannon & Wilson participates in the E-Verify program.

Please note that non-solicited resumes from external recruitment agencies will not be considered as introductions to our business, unless a preapproved agreement is in place and the external recruitment agency has been engaged to work on this specific vacancy.