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Remote Insurance Data Analytics Jobs in Redmond, WA

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 ... Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual ...

Partner with Global Data Analytics team to automate data pipelines to snowflake from different ... Employee divides their time between in-office and remote work. Access to an office location is ...

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Business Systems Analyst

Seattle, WA · Remote

$90K - $110K/yr

... Data & Analytics Healthcare Payer Focus Location: Remote - Preference for candidates currently residing in Washington State. Candidates willing to relocate to Washington may also be considered ...

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Showing results 21-40

Remote Insurance Data Analytics information

See Redmond, WA salary details

$27

$61

$105

How much do remote insurance data analytics jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote insurance data analytics in Redmond, WA is $61.31, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $69.47 per hour, depending on experience, location, and employer.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

What are the key skills and qualifications needed to thrive as a remote insurance data analytics professional?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.

How do remote insurance data analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What cities near Redmond, WA are hiring for Remote Insurance Data Analytics jobs?

Cities near Redmond, WA with the most Remote Insurance Data Analytics job openings:

Infographic showing various Remote Insurance Data Analytics job openings in Redmond, WA as of June 2026, with employment types broken down into 77% Full Time, 18% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $127,532 per year, or $61.3 per hour.

Data Engineer

Trupanion

Seattle, WA • On-site, Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 25 days ago


Key responsibilities

  • Design, build, and optimize reliable, scalable, and auditable data systems on the Databricks Lakehouse platform.

  • Ensure continuous, accurate data availability by monitoring, troubleshooting, and optimizing batch and real-time streaming pipelines.

  • Deliver query-ready Gold-layer data marts, dimensional models, and aggregate tables in collaboration with Data Analytics and Data Science teams.


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: 

  • Thebasesalaryrange 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 inTrupanion'ssuccess, so we grant Restricted Stock Units to all new team members. Our new hire grants vest over 4 years. 
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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