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Insurance Data Engineer Jobs in Iowa (NOW HIRING)

Neshent Technologies

Data Modeler

Urbandale, IA · On-site

$51.75 - $67.25/hr

Collaborate with business stakeholders, data architects, and engineering teams to translate requirements into scalable semantic and data solutions. * Develop data models for insurance domains ...

Neshent Technologies

Data Modeler

Grimes, IA · On-site

$54 - $70/hr

Collaborate with business stakeholders, data architects, and engineering teams to translate requirements into scalable semantic and data solutions. * Develop data models for insurance domains ...

Neshent Technologies

Data Modeler

Ankeny, IA · On-site

$51.25 - $66.50/hr

Collaborate with business stakeholders, data architects, and engineering teams to translate requirements into scalable semantic and data solutions. * Develop data models for insurance domains ...

Neshent Technologies

Data Modeler

Johnston, IA · On-site

$51.25 - $66.50/hr

Collaborate with business stakeholders, data architects, and engineering teams to translate requirements into scalable semantic and data solutions. * Develop data models for insurance domains ...

Neshent Technologies

Data Modeler

Windsor Heights, IA · On-site

$53.50 - $69.50/hr

Collaborate with business stakeholders, data architects, and engineering teams to translate requirements into scalable semantic and data solutions. * Develop data models for insurance domains ...

Neshent Technologies

Data Modeler

Berwick, IA · On-site

$53.75 - $69.75/hr

Collaborate with business stakeholders, data architects, and engineering teams to translate requirements into scalable semantic and data solutions. * Develop data models for insurance domains ...

Randstad Digital

Sr. Data Engineer

West Des Moines, IA · On-site

$176K/yr

What You Can Expect In This Role Enterprise data engineers will be responsible for designing and ... Experience in the Life Insurance or Financial Services domain. Other Requirements - Criminal ...

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 ...

Musco Sports Lighting

Senior Data Engineer

Oskaloosa, IA · On-site

$99K - $135K/yr

Senior Data Engineer The Musco Information Technology team has an opening for a Senior Data ... It includes varying health insurance plans, vision and dental insurance, PTO, 401k, profit sharing ...

Musco Sports Lighting

Senior Data Engineer

Oskaloosa, IA · On-site

$99K - $135K/yr

Senior Data Engineer The Musco Information Technology team has an opening for a Senior Data ... It includes varying health insurance plans, vision and dental insurance, PTO, 401k, profit sharing ...

Musco Sports Lighting

Senior Data Engineer

Oskaloosa, IA · On-site

$99K - $135K/yr

Senior Data Engineer The Musco Information Technology team has an opening for a Senior Data ... It includes varying health insurance plans, vision and dental insurance, PTO, 401k, profit sharing ...

RadNet, Inc.

Data Engineer- Cloud

Davenport, IA · On-site

$110 - $150/hr

Old Republic Bitco is seeking a Data Engineer - Cloud to join our Home Office located in Davenport ... As a respected specialty insurer with 11 branch offices across 10 states, OR Bitco delivers ...

Socket.dev

Data Engineer- Cloud

Davenport, IA · On-site

$90 - $120/hr

Old Republic Bitco is seeking a Data Engineer - Cloud to join our Home Office located in Davenport ... As a respected specialty insurer with 11 branch offices across 10 states, OR Bitco delivers ...

Bitco Corporation

Data Engineer- Cloud

Davenport, IA · On-site

Old Republic Bitco is seeking a Data Engineer - Cloud to join our Home Office located in Davenport ... As a respected specialty insurer with 11 branch offices across 10 states, OR Bitco delivers ...

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Showing results 21-40

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Iowa

Insurance Data Engineer information

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 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 August 2026, with employment types broken down into 2% As Needed, 73% Full Time, 21% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Data Modeler

Neshent Technologies

Urbandale, IA • On-site

$51.75 - $67.25/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are seeking an experienced Data Modeler with strong expertise in ontology modeling, semantic data modeling, enterprise knowledge graphs, and insurance data domains. The ideal candidate will have experience designing conceptual, logical, and physical data models, developing enterprise ontologies, and implementing semantic solutions using modern graph database and metadata management platforms.

Required Technical Skills
  • Strong knowledge of ACORD insurance data standards.
  • Experience with ontology and semantic modeling platforms such as Timbr, TopBraid, PoolParty, or Stardog.
  • Hands-on experience with graph databases including Neo4j, Stardog, or Amazon Neptune.
  • Experience with RDF, OWL, SPARQL, and enterprise knowledge graph concepts.
  • Familiarity with data governance and metadata management platforms such as Collibra, Alation, or Microsoft Purview.
  • Experience with AI/GenAI, semantic search, and enterprise knowledge graph initiatives.
  • Knowledge of modern data platforms such as Snowflake, Databricks, AWS, or Azure.
Roles and Responsibilities
  • Develop conceptual, logical, and physical data models for enterprise data platforms.
  • Design and maintain enterprise ontologies, semantic data models, knowledge graphs, taxonomies, and business vocabularies.
  • Define business entities, relationships, hierarchies, and semantic rules across enterprise data domains.
  • Collaborate with business stakeholders, data architects, and engineering teams to translate requirements into scalable semantic and data solutions.
  • Develop data models for insurance domains including Policy, Claims, Underwriting, Customer, Product, Billing, and Producer/Agency.
  • Support data governance, metadata management, data lineage, and data quality initiatives.
  • Ensure data models align with enterprise architecture standards, industry best practices, and governance frameworks.
  • Contribute to AI-driven data initiatives, including semantic search and knowledge graph implementations.
Preferred Skills
  • Enterprise Ontology Design
  • Semantic Data Modeling
  • Knowledge Graph Architecture
  • Insurance Data Architecture
  • ACORD Standards
  • RDF / OWL / SPARQL
  • Graph Databases (Neo4j, Stardog, Amazon Neptune)
  • Data Governance & Metadata Management
  • Snowflake / Databricks
  • Cloud Platforms (AWS / Azure)

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