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Insurance Data Engineer Jobs in Heber, UT (NOW HIRING)

Neighbor

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling ... Medical, dental, and vision insurance * Generous PTO * 11 paid company holidays * 401(k) plan

Neighbor

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling ... Medical, dental, and vision insurance * Generous PTO * 11 paid company holidays * 401(k) plan

Neighbor

Data Engineer

Lehi, UT

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling ... Medical, dental, and vision insurance * Generous PTO * 11 paid company holidays * 401(k) plan

Bamboo Insurance

Senior Data Engineer

Midvale, UT · On-site

$100K - $135K/yr

This role sits at the intersection of data engineering, platform reliability, and systems ... Experience in at least one domain-specific data model such as P&C Insurance, CRM, or Call Center ...

Podium

Analytics Engineer

Lehi, UT · Hybrid

Analytics Engineer This role will build out foundational agentic data tooling to support sales ... Life insurance, long and short-term disability coverage * Paid maternity and paternity leave

Podium

Analytics Engineer

Lehi, UT · On-site

This role is a balance between a Data Analyst and a Data Engineer. You should be equally ... Life insurance, long and short-term disability coverage * Paid maternity and paternity leave

Trucordia

Intregrations Engineer

Lindon, UT · On-site

... growing insurance brokerage that acquires agencies nationwide and migrates their data into a ... You will be the engineering counterpart to that team, responsible for building and running ETL ...

Trucordia

Intregrations Engineer

Lindon, UT · On-site

... growing insurance brokerage that acquires agencies nationwide and migrates their data into a ... You will be the engineering counterpart to that team, responsible for building and running ETL ...

Trucordia

Intregrations Engineer

Lindon, UT

... growing insurance brokerage that acquires agencies nationwide and migrates their data into a ... You will be the engineering counterpart to that team, responsible for building and running ETL ...

Bamboo Insurance

Senior DevOps Engineer

Midvale, UT

$160K/yr

Partner with the data team on creating data pipelines * Build tools and processes to support the ... Property and Casualty Insurance domain knowledge * GW Cloud experience Physical Requirements:

BambooHR

Sr. Data Governance Engineer

Draper, UT · On-site

$99K - $134K/yr

Manage relationships with business, product, and engineering data owners * Partner with enterprise ... Comprehensive health, life, and disability insurance * Generous leave policies that include 4 weeks ...

Patientco

Site Reliability Engineer II

Lehi, UT

$53.50 - $71/hr

This role is ideal for an experienced engineer who thrives in data-intensive environments and is ... Pet insurance * Employee resource groups Waystar is proud to be an equal opportunity workplace. We ...

Crew Career Center

Site Reliability Engineer II

Lehi, UT

$53.50 - $71/hr

This role is ideal for an experienced engineer who thrives in data-intensive environments and is ... Pet insurance * Employee resource groups Waystar is proud to be an equal opportunity workplace. We ...

Patientco

Data Scientist

Lehi, UT

Works closely with Application Engineering teams to gather and process data, as well as in ... Pet insurance * Employee resource groups Waystar is proud to be an equal opportunity workplace. We ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Heber, UT

Insurance Data Engineer information

See Heber, UT salary details

$44.5K

$129.6K

$177.3K

How much do insurance data engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for insurance data engineer in Heber, UT is $129,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,400.00 and $137,400.00 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 cities near Heber, UT are hiring for Insurance Data Engineer jobs? Cities near Heber, UT with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you
Data Engineer

Data Engineer

Neighbor

Lehi, UT • On-site

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Job description

At Neighbor, we're building the largest hyperlocal marketplace the world has ever seen. We've raised over $75 million from top-tier investors such as Andreessen Horowitz and the CEOs of DoorDash, StockX, and Uber. Our marketplace is already flourishing in all 50 states and we're just getting started!
As a Data Engineer, you will be the core engineering resource responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable intelligence. You will pioneer a foundation of engineering excellence, enabling the entire organization to make reliable, data-driven decisions at scale across all 50 states.
This engineering resource will be the cornerstone of our data infrastructure, responsible for extraction, transform, and load of the data that powers our nation-wide, best-in-class marketplace. By implementing software engineering best practices and scalable solutions, this role is critical in empowering the CEO, executive team, managers, and individual contributors with the robust and trustworthy intelligence needed to scale and innovate across our marketplace.
Primary Responsibilities
  • Design, implement, and maintain scalable data transformation layers and code-first orchestration frameworks to ensure the delivery of high-fidelity, reusable data models
  • Design and build robust pipelines to ingest data from diverse sources (APIs, logs, relational DBs)
  • Ensure the reliable and timely execution of all critical data pipelines (ETLs/ELTs) to maintain data integrity and freshness
  • Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols
  • Develop and refine a robust semantic layer to facilitate self-service analytics, enabling stakeholders to derive insights without exposure to underlying architectural complexities
  • Monitor and optimize cloud compute utilization and data model performance to ensure high availability and low-latency reporting during periods of rapid data scaling
  • Serve as a strategic technical partner to leadership across Product, Engineering, Marketing, and Finance to align data infrastructure with organizational objectives
  • Become a subject matter expert on the product ecosystem, user behavior, and marketing life cycles to better translate raw data into business value
  • Serve as a versatile technical resource capable of stepping into the Data Analyst capacity when necessary-performing deep-dive quantitative analysis and building sophisticated visualizations to support executive decision-making
  • Mentor the data analytics team on advanced technical methodologies to foster a culture of engineering excellence and data autonomy

Qualifications
  • 3+ years of experience in data engineering or analytics engineering
  • Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 5+ years work experience as a Data Engineer
  • Expert-level mastery of SQL, with the ability to write, tune, and optimize complex queries for high-volume environments
  • Strong command of at least one major programming language used for data processing
  • Hands-on experience designing and maintaining data lakes or cloud-based data warehouses
  • Deep understanding of data integration patterns, including data ingestion, transformation, and automated cleansing (ETL/ELT)
  • Experience applying scientific, mathematical, or statistical techniques to analyze data and build predictive models
  • Advanced ability to translate complex datasets into actionable narratives using modern business intelligence and reporting tools
  • A proven track record of using quantitative analysis to solve ambiguous problems and drive strategic decision-making in a fast-paced environment
  • Exceptional ability to collaborate with non-technical stakeholders, translating business requirements into technical specs and vice versa

Benefits
  • Generous Stock options
  • Medical, dental, and vision insurance
  • Generous PTO
  • 11 paid company holidays
  • 401(k) plan
  • Infant care leave
  • On-site gym/showers open 24/7

About Neighbor:
Neighbor is the largest and most comprehensive marketplace for self storage and parking, with listings in almost every U.S. city. From storage facilities to neighborhood garages, driveways, and RV spots, Neighbor brings every option together in one simple search. Come help us disrupt the $500 billion storage and parking industry! This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a an extremely talented, hardworking and passionate team committed to changing the world one neighbor at a time.
Neighbor is an equal opportunity employer and is committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, connect with us via email at [email protected]. Check out our careers page to get to know us better as you think about your next step at Neighbor!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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