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

The Role Haus's data engineering team powers the entire incrementality platform - every causal ... Top of the line health, dental, and vision insurance - multiple plan options so you can pick what ...

Company Description Founded by experienced entrepreneurs and engineers in 2016, Pismo is a ... Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the ...

Company Description Founded by experienced entrepreneurs and engineers in 2016, Pismo is a ... Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the ...

Company Description Founded by experienced entrepreneurs and engineers in 2016, Pismo is a ... Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the ...

Showing results 41-60

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 Aug 14, 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.

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 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:

Sr. Data Engineer, Ground Network Engineering (Business Analytics)

SpaceX

Redmond, WA • On-site

$160K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

15th of 72 rated aerospace companies


Job description

SR. DATA ENGINEER, GROUND NETWORK ENGINEERING (BUSINESS ANALYTICS)

At SpaceX, we are leveraging our experience in building rockets and spacecraft to deploy Starlink, the world's most advanced broadband internet system. Starlink is the world's largest satellite constellation and is providing fast, reliable internet to millions of users worldwide. We design, build, test, and operate all parts of the system - thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the software that brings it all together. We've only begun to scratch the surface of Starlink's potential global impact and are looking for best-in-class engineers and analysts to rapidly accelerate our growth around the globe.

As a Sr. Data Engineer for the Ground Network, you will play a critical role in building the framework that allow us to make decisions for our critical infrastructure. You will be defining and measuring infrastructure KPIs, analyzing data to extract key insights and identifying opportunities to improve spending in the ground network.

RESPONSIBILITIES 

  • Define and develop KPIs and associated metrics that quantify the cost of every asset of the Starlink Ground Network globally including gateway sites, points of presence, data centers, construction, fiber, power, land, hardware, etc.
  • Conduct deep-dive analyses of Starlink ground infrastructure data to identify trends, uncover opportunities for improving cost.
  • Regularly prepare reports and presentations that summarize findings, provide actionable insights, and track the effectiveness of implemented strategies.
  • Build and maintain forecasting engines to predict cost of the Starlink Ground Network.
  • Support cost analysis for launch of future markets.
  • Refactor and scale data ingestion and delivery of cost systems for geographic expansion.
  • Maintain and enhance the integrity and reliability of internal and external data sources. Collaborate with internal and external stakeholders including engineering, and external processors to capture additional data and to ensure data accuracy and consistency.
  • Collaborate closely with software engineering and other cross functional teams.
  • Architect backend services, APIs, and workflows to integrate planning, forecasting, deployments, and cost.

BASIC QUALIFICATIONS 

  • Bachelor's degree in engineering, computer science, or related field
  • 5+ years of professional experience in reporting and analytics in network infrastructure.
  • 3+ years of experience with SQL.

PREFERRED SKILLS AND EXPERIENCE 

  • Experience with inventory systems, logistics workflows, and/or supply chain tooling.
  • Proficient in C#, C++, or Angular
  • Basic understanding of Kubernetes concepts, including pods, services, deployments, and namespaces
  • Prior success in delivering strong data visualizations using tools such as PowerBI, Grafana, Metabase or other real-time metrics systems
  • Experience building backend services using APIs (Celery, FastAPI, Django, or similar frameworks) and system-to-system data exchange in logistics and supply chain environments
  • Proven track record developing custom forecasting tools and planning logic
  • Knowledge of MRP/ERP, WMS, or other supply chain systems
  • Strong problem-solving skills and comfort working in ambiguous environments with evolving requirements
  • Excellent communication and cross-functional program management skills 

ADDITIONAL REQUIREMENTS 

  • Must be able to work extended hours or weekends

COMPENSATION AND BENEFITS:    

Pay Range:    
Network Engineer/Senior: $160,000.00 - $225,000.00/per year     

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees in Washington State accrue paid sick time in compliance with state and federal law. Company shuttles are offered to employees for roundtrip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday.


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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US