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

Senior Data Engineer, NAST-CX Tech

Bellevue, WA · On-site

$129K - $155K/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 ...

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 ...

Data Engineer II- AMZ26497.1

Seattle, WA · On-site

$144K - $178K/yr

Data Engineer II Location: Seattle, WA Multiple Positions Available: Design, develop, implement ... 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 ...

Data Engineer II, AWS Analytics Engineering

Seattle, WA · On-site

$130K - $156K/yr

We are seeking a Data Engineer to join our Data Ingestion Platform team. In this role, you will ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

New

Data Engineer, E-Commerce

Seattle, WA · On-site

$148K - $300K/yr

Responsibilities As a data engineer in the Data Platform E-Commerce team, you will have the ... Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with ...

Data Engineers (Seattle, WA)

Seattle, WA · Hybrid

$130K - $156K/yr

... a Data Engineer to join its Purpose Brands team. This is a great position for someone who is ... Life and Disability Insurance * Unlimited Time off + Paid Holidays * Flexible Friday's between ...

Data Engineers (Seattle, WA)

Seattle, WA · On-site

$130K - $156K/yr

... a Data Engineer to join its Purpose Brands team. This is a great position for someone who is ... Life and Disability Insurance * Unlimited Time off + Paid Holidays * Flexible Friday's between ...

Data Engineer with Security Clearance

Seattle, WA · On-site

$130K - $156K/yr

Basic life and accidental death & dismemberment insurance . Matching contributions through 401(k) ... Data Engineering * Change Management * Defense What you can expect from us: Together, as owners ...

Showing results 21-40

Insurance Data Engineer information

See Renton, WA salary details

$50.1K

$145.9K

$199.7K

How much do insurance data engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for insurance data engineer in Renton, WA is $145,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $154,700.00 per year, depending on experience, location, and employer.

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

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.

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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
What job categories do people searching Insurance Data Engineer jobs in Renton, WA look for? The top searched job categories for Insurance Data Engineer jobs in Renton, WA are:
What cities near Renton, WA are hiring for Insurance Data Engineer jobs? Cities near Renton, WA with the most Insurance Data Engineer job openings:
Senior Data Engineer, NAST-CX Tech

Senior Data Engineer, NAST-CX Tech

Amazon

Bellevue, WA • On-site

$129K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,008 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon Transportation Services (ATS) team is looking for a Data Engineer who is data-driven, uncompromisingly detail oriented, smart, efficient, and driven to help our business succeed. Our team is expected to build and maintain scalable solutions to address increasing operational complexity from the evolution of new processes/challenge such as yard congestion, intermodal, safety risk prediction and etc. We need to continuously innovate on behalf of our customers and develop new platforms and new AI / science-based planning tools to efficiently drive process excellence.
As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be exposed to cutting edge AWS data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate.
Key job responsibilities
• Synthesize business requirements into data platform architecture for use by business intelligence engineers, data scientists, and product managers.
• Interface with other technology/data engineering teams to extract, transform, and load data from a wide variety of data sources using and AWS data technologies.
• Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies.
• Maintain and enhance existing data pipelines. Establish new scalable, efficient and automated processes for ingesting data.
• Work closely with BIE leaders, business owners, developers to explore new data sources and deliver solutions for Business Intelligence & Analytics.
• Develop the end-to-end automation of data pipelines, making datasets readily-consumable by visualization tools, machine learning platforms, and daily/weekly/monthly reporting processes.
• Enhance processes to help maintain data integrity, availability, and auditability.
A day in the life
As a Data Engineer, you will develop new data engineering patterns that leverage new cloud architectures, and will extend or migrate existing data pipelines to the architectures as needed. You will be responsible for designing and implementing the complex ETL pipelines in Big data platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making at Amazon.com
About the team
Amazon Benefits:
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
BASIC QUALIFICATIONS
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 154,600.00 - 209,100.00 USD annually

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US