1

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

Senior Data Engineer, Scala New York City, NY Boston, MA Los Angeles, CA Broomfield, CO Seattle, WA ... Disability and Life Insurance * Cell Phone Subsidy * Fitness Reimbursement Company Culture:

We are working to rebuild and revolutionize data engineering and business intelligence systems ... 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 ...

We are working to rebuild and revolutionize data engineering and business intelligence systems ... 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, NAST CX Tech

Bellevue, WA · On-site

$129.20K - $155.20K/yr

The NAST Customer Experience (CX) Tech team is looking for a Data Engineer II to build and scale ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

Data Engineer, E-Commerce

Seattle, WA · On-site

$148.20K - $300.96K/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 ...

SR. DATA ENGINEER (STARLINK GROWTH) At SpaceX, we are leveraging our experience in building rockets ... and long-term disability insurance, life insurance, paid parental leave, and various other ...

Lead Data Engineer

Bellevue, WA · On-site

$80.13K - $117.13K/yr

Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) * 401(k) plan and contributions ... data engineering skillsets • Assist team management in defining projects, including helping ...

As a Data Engineer, you will be responsible for developing the strategy, key metrics, tools ... insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks ...

As a Sr. Data Engineer in the Starlink Growth Analytics & Automation Team, you will be responsible ... and long-term disability insurance, life insurance, paid parental leave, and various other ...

As a Sr. Data Engineer in the Starlink Growth Analytics & Automation Team, you will be responsible ... and long-term disability insurance, life insurance, paid parental leave, and various other ...

Data Engineers (Seattle, WA)

Seattle, WA · Hybrid

$130.30K - $156.50K/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 * Fridays off between Memorial ...

Data Engineers (Seattle, WA)

Seattle, WA · On-site

$130.30K - $156.50K/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 * Fridays off between Memorial ...

next page

Showing results 1-20

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 May 31, 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 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 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 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:
Infographic showing various Insurance Data Engineer job openings in Bothell, WA as of May 2026, with employment types broken down into 1% As Needed, 60% Full Time, 32% Part Time, 6% Contract, and 1% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $145,008 per year, or $69.7 per hour.

Senior Data Engineer, Scala

Magnite

Seattle, WA • Hybrid

$450/day

Full-time

Medical, Life, Retirement

Posted 9 days ago


Job description

Senior Data Engineer, Scala

New York City, NY

Boston, MA

Los Angeles, CA

Broomfield, CO

Seattle, WA

Hybrid Schedule (M/F remote, T/W/TH in-office)

At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day!

Magnite conducts 400+ billion ad request auctions daily carrying $450+ million of revenue annually. To stand out among competitors, Magnite strategically focuses on being the most efficient, highest scale independent exchange.

About this team:

We are seeking someone with proficiency in Scala and Spark to build and optimize large-scale batch and streaming data pipelines.

The Core Data Engineering team sits within the data engineering group and maintains technical involvement across the applications and infrastructure that make up Magnite's data pipelines. Our pipelines collectively handle 400+ billion events per day and generate terabytes of data per hour across both cloud-based and on-prem infrastructure. This data underpins the various business lines - including client reporting, internal data science, account managers, and product + business teams - and as such we need to build systems that remain scalable and efficient at this volume of data while also ensuring data consistency and reliability. We value communication, discussion, and sharing of ideas to come to the best technical solutions to our large-scale data challenges. We are looking for people who want to get things done and value open collaboration (including constructive feedback when brainstorming). The team's mandate is technical development across the three platform-specific data engineering teams in the group. As such they get exposure to all aspects of our data engineering infrastructure and applications including Spark jobs, Java-based real-time event processing, and large-scale data warehousing.

In this role you will:

  • Get to work on handling internet-scale data problems

  • Help architect and build systems to process our data volume to empower all consumers

  • Have hands-on involvement across the group's various data pipelines and related systems for data delivery

  • Be a part of and promote our culture of collaboration and mentorship

Typical challenges we face in this role include:

  • Highly-scalable infrastructure: Our traffic has patterns with peak- and off-peak times and seasonal shifts, and our data infrastructure needs to be able to respond accordingly

  • Cost optimization: Improving profit margins by lowering the infrastructure cost basis through building efficient systems

  • Technical architecture considerations given various SLAs for data delivery

We're looking for someone:

  • Proficiency in Scala and Spark to build and optimize large-scale batch and streaming data pipelines

  • With 5+ years of software development experience with a BS/MS Computer Science or equivalent work experience

  • Who wants to take ownership. We are responsible for the entire software development lifecycle, from requirements gathering to production support

  • To engage in critical and creative thinking, and constructive brainstorming. We expect engineers to present and discuss tradeoffs to solve the problems we face.

  • With either existing experience designing and building systems that work with large-scale data volumes and data ingestion systems at scale in a cloud-first setting, OR established technical excellence with a desire to learn and crush the data engineering world

Our current tech stack:

  • Spark (batch + streaming) data pipelines, currently based both on Databricks and on-prem Spark infrastructure, primarily using Scala

  • Streaming event processing data pipeline, using Java

  • Terraform, Docker, Jenkins for CI/CD / infra / application deployment

  • Airflow for job orchestration

  • AWS-based cloud infrastructure including RDS, EC2, S3, Kinesis, ECS

Comprehensive Perks and Benefits:

  • Comprehensive Healthcare Coverage for You and Your Family from Day One

  • Generous Time Off

  • Holiday Breaks, Summer Fridays and Quarterly Wellness Days

  • Equity and Employee Stock Purchase Plan

  • Family-Focused Benefits and Parental Leave

  • 401k Retirement Savings Plan with Employer Match

  • Disability and Life Insurance

  • Cell Phone Subsidy

  • Fitness Reimbursement

Company Culture:

  • Community Service and Volunteer Events

  • Company-Matched Charitable Contributions

  • Wellness Coach and Mental Health Support

  • Career Development Initiatives and a Career Growth Framework

  • Culture and Inclusion Programs

  • Bonusly Peer-to-Peer Recognition Program

About Us

The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC.

Only candidates in the following states will be eligible for employment: AZ, CA, CO, FL, GA, ID, IL, MA, MI, MT, NE, NJ, NY, NC, OK, OR, PA, SC, TX, UT, VA, WA.

The base salary range for this position, across all United States geographies, is $150,000 - $170,000 per year. The upper portion of the salary range is typically reserved for existing employees who demonstrate strong performance over time.

Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class.

Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite's local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change.

Want to learn more about us?

Check out our blog for Magnite announcements and Ad Tech industry news!

Recruiting Agency Notice

Magnite does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.