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

Waystar

Data Scientist

Lehi, UT · On-site

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 ...

Crew Career Center

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 ...

TERRACON

Field Engineer

Midvale, UT

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

TERRACON

Field Engineer

Midvale, UT · On-site

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

Tata Consultancy Service Limited

Engineer

Midvale, UT · On-site

$80K - $120K/yr

... Information Security, Data Science or related field, and a minimum of 5 years experience ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. * Convenience & Professional ...

Tata Consultancy Service Limited

Engineer

Midvale, UT · On-site

$80K - $120K/yr

... Information Security, Data Science or related field, and a minimum of 5 years experience ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. * Convenience & Professional ...

Tata Consultancy Service Limited

Engineer

Midvale, UT · On-site

$80K - $120K/yr

... Information Security, Data Science or related field, and a minimum of 5 years experience ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. * Convenience & Professional ...

Cisco

Software Engineer, Backend

Lehi, UT

$152K - $219K/yr

Meet the Team The Time Series Data (TSD) team builds andoperatesthe time-series database ... insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and ...

challenger

Data Warehouse Analytics Specialist

Sandy, UT

$17 - $21.75/hr

... engineering. Responsibilities * Analyze SQL/PYTHON queries, views, reports, source systems, and ... Medical, dental, and vision insurance * 401(k) * Paid time off * Professional development ...

challenger

Data Warehouse Analytics Specialist

Sandy, UT

$17 - $21.75/hr

... engineering. Responsibilities * Analyze SQL/PYTHON queries, views, reports, source systems, and ... Medical, dental, and vision insurance * 401(k) * Paid time off * Professional development ...

Cisco

Software Engineer, Backend

Sandy, UT

$152K - $219K/yr

Meet the Team The Time Series Data (TSD) team builds andoperatesthe time-series database ... insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and ...

TERRACON

Geotechnical Field Engineer

Midvale, UT · On-site

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

TERRACON

Geotechnical Field Engineer

Midvale, UT · On-site

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

Kelly Services

Manufacturing Product Engineer

Lehi, UT · On-site

$110K - $180K/yr

Data-Driven Insights : Apply advanced statistical analysis and data science principles to support ... term life, whole life, accident insurance, critical illness, a legal plan, and short-term ...

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Showing results 1-20

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 Scientist

Data Scientist

Waystar

Lehi, UT • On-site

Full-time

Medical, Retirement, PTO

Re-posted 12 days ago

Job description

ABOUT THIS POSITION
We are looking for an experienced Data Scientist. The data scientist role involves solving data-driven Healthcare problems using various machine learning and predictive modeling methods. This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of predictive modeling and data driven strategies across Waystar. applying machine learning, predictive modeling, and analytic components to maximize operational outcomes for healthcare providers. The ideal candidate for this position will have exposure to the healthcare revenue cycle, can approach problem-solving challenges independently, has a strong attention to detail, and enjoys working in a fast-paced, collaborative, and team-based environment.
WHAT YOU'LL DO
  • Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational value.

  • Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically based features in core products

  • Works on new applications of machine learning and analytic technology within Healthcare, producing quantitative, justifiable results to guide feature planning

  • Translates real-world Healthcare problems to mathematical frameworks Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback

  • Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role

  • Understands, organizes, and communicates succinctly. Familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods

  • Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing

  • Demonstrated competency in R/Python predictive modeling

  • Demonstrated competency in RDBMS (e.g. SQL Server)

WHAT YOU'LL NEED
  • Must be a quick-learner with the ability to multi-task in a fast-paced environment

  • Presentation abilities and the ability to communicate with all levels of the Business.

  • Comfortable working in ambiguous areas where learning and adaptability are key skills.

  • Competent communication and interpersonal skills

  • Proficient in Microsoft Office applications

  • Bachelor's degree in the fields of Computer or Data Science, Statistics, or Mathematics is required. Additional experience and/or education in healthcare, business operations or other areas is preferred.

  • An aptitude for medical informatics is preferred

ABOUT WAYSTAR
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter.
WAYSTAR PERKS
  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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