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

Smarty

Data Engineer

Orem, UT · On-site

$100/hr

We are looking for a skilled Data Engineer to join our Business Intelligence team at Smarty, a ... Range for this role is $90k - $120k * 100% paid health, dental, and basic life insurance premiums ...

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$140 - $180/hr

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

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

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

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

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

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

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

BILL

Staff Data Warehouse Engineer

Draper, UT · On-site

We'd love to chat if you have: * 8+ years of experience in data engineering or combined software ... Life Insurance, Long & Short-term disability coverage * Employee Assistance Program (EAP) * 11 ...

BambooHR

Staff Data Scientist

Draper, UT · Hybrid

You'll partner closely with BI Engineers, Data Engineers, Analysts, and divisional operational ... Comprehensive health, life, and disability insurance * Generous leave policies that include 4 weeks ...

New

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:

Zions Bank

Financial Data Analytics Manager

Midvale, UT · On-site

$99K - $130K/yr

Lead and develop data analysts, analytics engineers, and technical leads. * Own financial data ... Medical, Dental and Vision Insurance - START DAY ONE! * Life and Disability Insurance, Paid ...

New

Trucordia

Integrations Engineer

Lindon, UT · On-site

$93K - $126K/yr

... 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 ...

Waystar, Inc

Sr. Data Scientist

Lehi, UT · On-site

$80 - $120/hr

Collaborate with Application Engineering teams to gather and process data and surface ... Pet insurance. * Employee resource groups. Equal Opportunity Statement Waystar is proud to be an ...

Bread Financial

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... life insurance, supplemental medical plans, and short and long-term disability) to eligible ...

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Showing results 1-20

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

Insurance Data Engineer information

See Orem, UT salary details

$38.7K

$112.8K

$154.3K

How much do insurance data engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for insurance data engineer in Orem, UT is $112,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $119,500.00 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.

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 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 Orem, UT?

For Insurance Data Engineer jobs in Orem, UT, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Orem, UT look for?

The top searched job categories for Insurance Data Engineer jobs in Orem, UT are:

What cities near Orem, UT are hiring for Insurance Data Engineer jobs?

Cities near Orem, UT with the most Insurance Data Engineer job openings:

Insurance Data Engineer jobs near you

Data Engineer

Smarty

Orem, UT • On-site

$100/hr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 25 days ago

Job description

We are looking for a skilled Data Engineer to join our Business Intelligence team at Smarty, a growing SaaS company. In this role, you will be responsible for designing, building, and maintaining the data infrastructure that powers our analytics and reporting capabilities. You will work closely with data analysts and business stakeholders to ensure that clean, reliable, and well-structured data is always available when and where it's needed.
This is an onsite, non-remote position in Orem, UT.
What You'll Do
  • Design, build, and maintain scalable data pipelines and ELT workflows using open-source/self-hosted Airbyte and custom Python
  • Develop and maintain dbt models, tests, and documentation to transform raw source data into reliable fact and dimension tables
  • Manage and optimize our AWS data lakehouse architecture, including S3 storage, Glue data catalog, and Athena query layer
  • Orchestrate automated data workflows using AWS Step Functions and EventBridge schedules
  • Deploy and manage Lambda functions for near-real-time pipelines, reverse ETL, and Slack-based data delivery
  • Manage infrastructure as code using AWS CloudFormation for Lambdas, Step Functions, and Glue resources
  • Maintain and administer Airbyte for data ingestion across sources such as HubSpot, MySQL databases, Google Analytics, and others
  • Write and maintain bespoke Python pipelines for sources and use cases not well-served by off-the-shelf connectors
  • Monitor pipeline health via AWS CloudWatch, respond to failures, and maintain data quality through dbt testing
  • Manage AWS services including ECS/ECR (containerized pipeline execution), Secrets Manager, SNS, and IAM
  • Collaborate with data analysts to support Power BI reporting, including scheduled semantic model refreshes
  • Document data architecture, pipelines, and operational runbooks to support team knowledge and continuity

Who You Are
  • 3+ years of experience in a Data Engineering or similar role
  • Strong hands-on experience with dbt (data build tool) - modeling, incremental strategies, testing, and documentation
  • Proficiency in Python for data pipeline development and automation
  • Strong working knowledge of AWS data services, including:
    • Amazon S3 - storage management, partitioning, lifecycle
    • Amazon Athena - query optimization, DDL management
    • AWS Glue - data catalog, crawlers, DDL management
    • AWS Lambda - event-driven processing and automation
    • AWS Step Functions & EventBridge - pipeline orchestration and scheduling
    • AWS ECS/ECR - running containerized workloads
    • AWS CloudFormation - infrastructure as code
    • AWS CloudWatch - logging and monitoring
    • AWS IAM & Secrets Manager - permissions and credential management
  • Experience managing an Airbyte (or similar ELT tool such as Fivetran) deployment and its source connections
  • Solid SQL skills and comfort with data modeling concepts (staging, intermediate, fact/dimension layers)
  • Familiarity with MySQL or similar relational databases as data sources
  • Experience with version control (Git/Bitbucket or similar) and code review workflows
  • Strong problem-solving skills and a proactive approach to pipeline monitoring and data quality
  • Nice to have:
    • Experience integrating with SaaS APIs such as Salesforce, HubSpot, Google Analytics, or Help Scout
    • Familiarity with Power BI or other BI tools (Tableau, Looker, etc.)
    • Experience with reverse ETL patterns (pushing transformed data back to source systems)
    • Experience working in a SaaS company environment or with product usage/billing data
    • Familiarity with Apache Iceberg or similar table formats (VACUUM/OPTIMIZE operations)
    • AWS certifications (e.g., AWS Certified Data Engineer, Solutions Architect)

Benefits and Perks
  • Competitive compensation (DOE)
    • Range for this role is $90k - $120k
  • 100% paid health, dental, and basic life insurance premiums (including family coverage)
  • Long-term disability insurance
  • Generous PTO that increases with tenure
  • 401(k) with company matching
  • Ongoing training and professional development
  • Adjustable standing desk and modern tools
  • Drinks, snacks, team lunches, and activities
  • In-office chiropractic services
  • Company retreats and trips to genuinely fun places

To apply:
Sounds too good to be true? Apply and find out for yourself.
  • For more information about the company, please visit us at www.smarty.com.

We are an Equal Opportunity Employer and we require all candidates (that receive and accept employment offers) to complete a background check.
About Smarty
Since its founding in 2011, Smarty has become a recognized industry leader in address data intelligence (exciting, we know). We provide enterprise-grade SaaS solutions worldwide for address validation, geocoding, and data enrichment.
Our culture is all about creating, building, helping, and collaborating with energy and excitement. We want to enjoy our time together by being outward toward others, making appropriate efforts to master our respective crafts, and doing lots of fun things together.

Apply