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Insurance Data Engineer Jobs in Iowa (NOW HIRING)

Control Systems Engineer

Dubuque, IA · On-site

$70K - $100K/yr

Analyze machine and sensor data to improve system performance and reliability. * Work with design ... Company Paid Life Insurance * Company Paid Long-Term Disability * Short-term Disability

Software Test Engineer

Dubuque, IA · On-site

$65K - $110K/yr

Analyze data from supplier, laboratory, and field testing to identify trends, issues, and ... Company Paid Life Insurance * Company Paid Long-Term Disability * Short-term Disability

Data Science Associate

Des Moines, IA

$57K - $58K/yr

We are a mutual insurance company owned by our policy holders across Iowa and South Dakota, and we ... engineering, or economics. * Less than 1-year hands-on experience with specific experience in data ...

We are a mutual insurance company owned by our policy holders across Iowa and South Dakota, and we ... engineering, or economics. * Less than 1-year hands-on experience with specific experience in data ...

Data Science Associate

Des Moines, IA · On-site

$57K - $58K/yr

We are a mutual insurance company owned by our policy holders across Iowa and South Dakota, and we ... engineering, or economics. * Less than 1-year hands-on experience with specific experience in data ...

Developer

Des Moines, IA · On-site

$85K - $125K/yr

Data Engineering & Processing • Build and maintain data ingestion, transformation, and processing ... insurance, or other regulated enterprise environments. • Prior experience as a Senior Engineer ...

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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 cities in Iowa are hiring for Insurance Data Engineer jobs? Cities in Iowa with the most Insurance Data Engineer job openings:
Data Science Consultant - Pharmacy

Data Science Consultant - Pharmacy

Wellmark, Inc.

Des Moines, IA • On-site

Full-time

Re-posted 8 days ago


Job description

Company Description

Why Wellmark? 

We are a mutual insurance company owned by our policy holders across Iowa and South Dakota, and we've built our reputation on over 80 years' worth of trust. We are not motivated by profits. We are motivated by the well-being of our friends, family, and neighbors-our members. If you're passionate about joining an organization working hard to put its members first, to provide best-in-class service, and one that is committed to sustainability and innovation, consider applying today! 

Learn more about our unique benefit offerings here. 

Want to know more? You can learn about life at Wellmark here.

Job Description

Through collaborative partnerships with key business stakeholders, proactively solves business problems using the analytics lifecycle across domains. Serves as a business consultant for high profile data presentations and data analysis. Performs data manipulation and dataset preparation for business analysis and outcomes and summarizes data in a logical and understandable format. Collaborates with cross-functional partners to drive successful data enabled improvement recommendations from definition through completion, providing solutions and identifying risks.

Qualifications

Required:

  • For consideration, you must meet one of the following educational/technical requirements:
  • Master's degree in quantitative discipline such as statistics, mathematics, finance, accounting, computer science, engineering, or economics - OR
  • Bachelor's degree in quantitative discipline such as statistics, mathematics, finance, accounting, computer science, engineering or economics and 2 years equivalent work experience with specific experience in the analysis of databases and files using SQL dialects and statistical programming languages with specific experience utilizing data collection, advanced formulas, advanced joins, analysis, statistics, and data presentation.
  • Experience with business intelligence and analysis platforms such as MS Power Bi and Tableau.
  • Demonstrated experience in working with large data sets and spreadsheets.
  • Proficiency with complex data joins.
  • Naturally curious with ability to drive business decisions and solutions.
  • Effective communication skills, both verbal and written, with the ability to present complex information.
  • Proactive, self-starter with demonstrated ability to manage priorities through effective time management skills.
  • Detail oriented, including a strong analytical/technical orientation.

Preferred:

  • Master's degree.
  • Prior experience with data manipulation, hypothesis testing, root cause diagnosis, forecasting or modeling.
  • Experience developing project roadmaps and timelines.
  • Strong consultation and presentation skills.
  • Have a passion for mentorship and coaching.
  • Experience with SAP products including Business Objects.
  • Thorough understanding of data warehousing.
Additional Information

Job Responsibilities 

a. Demonstrate strong business knowledge by identifying complex business problems through discovery sessions and stakeholder interactions. Understand the project objectives and gather requirements to build a preliminary plan.

b. Research and gather appropriate data from various sources. Source, extract, assemble, collate, and consolidate data into reusable data assets using complex joins.

c. Profile and prepare data for analysis, including the creation of derived elements and macros for processing efficiencies.    

d. Build, execute, and automate models to analyze business outcomes using tables, graphs, and charts, as well as algorithms, forecasts, and trends.

e. Interpret results and identify key findings to quantify business value.

f. Develop narratives to summarize and convey findings to stakeholders. Make recommendations based on findings.

g. Be a "go to" person for analysis while being adept at quickly assessing the needs of multiple business partners with, at times, ambiguous requirements.

h. Manage multiple projects simultaneously and support corporate process improvement initiatives, meeting aggressive timeframes. Participate in cross-functional projects to optimally support the business.

i. Provide peer review and coaching within team and across other business areas.

j. Create, update, and maintain documentation and procedures for sourcing, analyzing, and preparing internal reporting and presentations. Ensure the highest quality and integrity of data sources.

k. Other duties as assigned.

An Equal Opportunity Employer

The policy of Wellmark Blue Cross Blue Shield is to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contact us at [email protected]

Please inform us if you meet the definition of a "Covered DoD official".

At this time, Wellmark is not considering applicants for this position that require any type of immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs please refer to the following resources:Nonimmigrant Workers and Green Card for Employment-Based Immigrants 

Wellmark supports and expects the responsible use of AI for our workforce! We welcome the responsible use of these tools by job seekers as well and are interested in learning from you; you will have an opportunity in the application process to share which tools you used and how you applied them.