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Insurance Data Engineer Jobs in Iowa (NOW HIRING)

CAI

Data Center Commissioning Project Manager

Des Moines, IA · On-site

$128K - $150K/yr

*THIS IS NOT A DATA ENGINEERING RELATED POSITION* Position Description: Your responsibilities as a ... CAI Benefits: • Comprehensive Health Insurance coverage • 24 days of Paid Time Off • Company ...

Wellmark, Inc.

Software Engineer

Des Moines, IA · On-site

We are a mutual insurance company owned by our policy holders across Iowa and South Dakota, and we ... Design, develop, and maintain data-focused software solutions supporting HEDIS and quality ...

Weitz

Project Engineer - Data Center

Cedar Rapids, IA · On-site

The Project Engineer is responsible for several functions throughout the duration of assigned ... Employer-Paid Life Insurance * Generous Paid Time Off Provisions * 401K Retirement Savings Plan ...

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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 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
Senior Reliability Engineer - Data Analytics

Senior Reliability Engineer - Data Analytics

Collabera

Urbandale, IA

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

Company Description

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. 

Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance.

Job Description

Work with cross functional teams to develop actionable high impact data analytic solutions. 

Assess and build upon existing tool architecture and implementations to support developing best in class "big data" approaches.


Qualifications

Candidates need five+ years of experience. 

Also, manager is not interested in candidates with primarily consultant experience/backgrounds. 

Desires candidates with hands on experience. 

Experience with writing scripts in SQL(Standard Query Language) 

Experience with multiple programming languages and analytic tools such as SAS, R Programming Language, and/or Tableau 

Experience with statistical analysis and /or data analytics methods Good communication skills. Minimum of 4 years education in Bachelor of Engineering such as Reliability, Mechanical, Electrical, Industrial, or equal amount of experience. 

Analytical / problem Solving Skills In Any Of The Following Areas:

Field Reliability Data Analysis

Design for Reliability (DFR)

Root Cause Analysis (RCA)

Failure Mode and Effects Analysis (FMEA)

Design of Experiments (DOE)

Degradation Data Analysis

Statistical Data Analysis. 

Experience with Telematics Data (Diagnostic Trouble Codes, Machine/Engine Operating Conditions data). 

Develop specific analysis reports and solutions for identifying patterns or trends related to reliability performance using Telematics data. 


Additional Information

To know more about the position or to schedule an interview, please contact:
Jeff Demaala

973-606-3249


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