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Insurance Data Engineer Jobs in Iowa (NOW HIRING)

Aureon Consulting

Data Engineer

West Des Moines, IA · On-site

$113K - $135K/yr

Experience in financial services, insurance, or other regulated industries. * Bachelor's degree in Computer Science, Information Systems, or a related field. * 8+ years of data engineering, systems ...

Transamerica

Lead Data Engineer

Cedar Rapids, IA · On-site

$112K - $134K/yr

Our insurance, retirement, and investment solutions help people make the most of what's important ... Summary The Lead Data Engineer is responsible for the design, architecture and support of systems ...

Aegon

Lead Data Engineer

Cedar Rapids, IA · On-site

$112K - $134K/yr

Our insurance, retirement, and investment solutions help people make the most of what's important ... Summary The Lead Data Engineer is responsible for the design, architecture and support of systems ...

EMC Insurance Group, Inc.

Data Engineer III

Des Moines, IA · On-site

$111K - $134K/yr

Develops, tests, and maintains complex prioritized engineering (design/build/test) work as a member of a data analytics product pipeline architecture and infrastructure team: * Investigates and ...

Transamerica

Senior Data Engineer

Cedar Rapids, IA · On-site

$95K - $115K/yr

Our insurance, retirement, and investment solutions help people make the most of what's important ... Summary The Senior Data Engineer will support creation of the Book of Record by building AWS-based ...

Aegon

Senior Data Engineer

Cedar Rapids, IA · Hybrid

$95K - $115K/yr

Our insurance, retirement, and investment solutions help people make the most of what's important ... Summary The Senior Data Engineer will support creation of the Book of Record by building AWS-based ...

TEKsystems

Data Engineer

Des Moines, IA · Remote

$55 - $75/hr

... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • ...

The Waldinger Corp.

Senior Data Engineer

Des Moines, IA · Hybrid

$103K - $140K/yr

... Data Engineer in our Corporate office. In this hybrid role, you'll work closely with team members ... Health, dental and vision insurance * Growth potential with a stable company * Paid vacation

1 point system

AWS Data Engineer (Financial)

Cedar Rapids, IA · On-site

$112K - $134K/yr

Experience leveraging AI tools and technologies to enhance data engineering or analytics workflows ... Insurance and/or Financial Services industry experience strongly preferred , including familiarity ...

Kemper

Senior Data Systems Analyst

Des Moines, IA

$83K - $105K/yr

Partner with engineering and operational teams to prioritize remediation activities. * Track ... Insurance industry experience (P&C and/or Life Insurance). * Experience supporting enterprise data ...

NCMIC

Data Analyst III

Clive, IA

Partners closely with Data Engineers to ensure accurate implementation within established data ... Industry knowledge in insurance or financial services preferred. Skills: * Advanced proficiency in ...

NCMIC

Data Analyst III

Clive, IA · On-site

Partners closely with Data Engineers to ensure accurate implementation within established data ... Industry knowledge in insurance or financial services preferred. Skills: * Advanced proficiency in ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Iowa

Insurance Data Engineer information

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 are popular job titles related to Insurance Data Engineer jobs in Iowa? For Insurance Data Engineer jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Iowa look for? The top searched job categories for Insurance Data Engineer jobs in Iowa are:
What cities in Iowa are hiring for Insurance Data Engineer jobs? Cities in Iowa with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Iowa as of July 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 85% In-person, and 15% Hybrid job distribution.

Data Engineer

Aureon Consulting

West Des Moines, IA • On-site

$113K - $135K/yr

Other

Posted 6 days ago

Job description

Aureon Consulting is seeking an experienced Enterprise Data Engineer (Systems Analyst) to design and build scalable data and integration solutions that support enterprise analytics and business operations.

Key Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines using Snowflake, SQL, and dbt.
  • Build and optimize data transformations, integrations, and orchestration workflows.
  • Develop integrations using APIs, messaging platforms, and cloud technologies.
  • Partner with business and technical teams to translate requirements into scalable data solutions.
  • Implement data modeling, governance, quality controls, and best practices.
  • Monitor and improve data pipeline performance, reliability, and cost efficiency.
  • Troubleshoot complex data issues and recommend effective solutions.
  • Evaluate emerging technologies to enhance data delivery and integration capabilities.

Required Qualifications

  • Strong experience with Snowflake, SQL, and dbt.
  • Experience building enterprise-scale data pipelines and integrations.
  • Hands-on experience with cloud data platforms, data warehousing, and data lakes.
  • Strong knowledge of data modeling, governance, and data quality.
  • Excellent problem-solving, communication, and stakeholder management skills.
  • Ability to manage multiple priorities in a fast-paced environment.

Preferred Qualifications

  • Snowflake certification(s).
  • Experience in financial services, insurance, or other regulated industries.
  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • 8+ years of data engineering, systems analysis, or software development experience.

Key Technologies: Snowflake, SQL, dbt, ETL/ELT, APIs, Cloud Data Platforms, Data Warehousing, Data Modeling, Data Governance.

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