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Insurance Data Engineer Jobs in Iowa (NOW HIRING)

Mom's Meals

Manager, Data Integration

Ankeny, IA · On-site +1

You will manage a team of engineers, set technical and operational standards, and take full ... Benefits include: -PTO, holiday pay and holiday of choice -401(k) match -Life insurance -Short-term ...

Mom's Meals

Manager, Data Integration

Ankeny, IA

You will manage a team of engineers, set technical and operational standards, and take full ... Benefits include: -PTO, holiday pay and holiday of choice -401(k) match -Life insurance -Short-term ...

CAI

Data Center Commissioning Project Manager

Des Moines, IA · On-site

$118.10K/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 ...

Mom's Meals

Sr Data Integration Engineer

Ankeny, IA · On-site +1

$97.50K - $131.20K/yr

The Senior Data Integration Engineer is responsible for managing, securing, and optimizing the ... Benefits include: -PTO, holiday pay and holiday of choice -401(k) match -Life insurance -Short-term ...

Mom's Meals

Sr Data Integration Engineer

Ankeny, IA · On-site +1

$97.50K - $131.20K/yr

The Senior Data Integration Engineer is responsible for managing, securing, and optimizing the ... Benefits include: -PTO, holiday pay and holiday of choice -401(k) match -Life insurance -Short-term ...

Apex Systems

Power BI Analytics Engineer

Ankeny, IA · On-site +1

$112K - $120K/yr

Partner with Data Engineering to ensure upstream data models are optimized for analytical ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

Wellmark, Inc.

Software Engineer

Des Moines, IA · On-site

$21/hr

We are a mutual insurance company owned by our policy holders across Iowa and South Dakota, and we ... This role is ideal for an engineer who enjoys building data-centric solutions in a regulated ...

Wellmark, Inc.

Software Engineer

Des Moines, IA

We are a mutual insurance company owned by our policy holders across Iowa and South Dakota, and we ... This role is ideal for an engineer who enjoys building data-centric solutions in a regulated ...

Wellmark, Inc.

Quality Engineer III

Des Moines, IA · On-site

$70.30K - $90.80K/yr

We are a mutual insurance company owned by our policy holders across Iowa and South Dakota, and we ... Data warehouse testing experience including writing SQL queries * Previous experience with MS ...

Tractor Zoom

Be Seen First

Senior Data Scientist

Des Moines, IA · On-site

$120K - $145K/yr

You will regularly work with our customers, designers, and engineers to build products used by ... Benefits: * 80% Health, Vision and Dental Insurance Covered * 401k Program * 11+ Paid Holidays

New

RFA Engineering

Manufacturing Engineer

Davenport, IA · On-site

$64.70K - $83.30K/yr

Investigate, gather and analyze data and implement solutions. * Continuous improvements in cost ... Company Paid Life Insurance * Company Paid Long-Term Disability * Short-term Disability

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Insurance Data Engineer information

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 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 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 May 2026, with employment types broken down into 92% Full Time, 2% Part Time, 4% Temporary, and 2% Contract. Highlights an 87% In-person, 6% Hybrid, and 7% Remote job distribution.
Principal Data Analyst

Principal Data Analyst

Mom's Meals, a PurFoods Company

Ankeny, IA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Mom's Meals rating

6.5

Company rating: 6.5 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

10th of 22 rated food delivery companies

Job description

Position Summary
The Principal Data Analyst is a senior, hands-on analytics leader who turns complex, cross‑functional data into clear, actionable insights that drive business outcomes as a consultative partner. This role sets the bar for analytical rigor, designs enterprise‑grade BI assets, mentors analysts, and partners with business, engineering, and governance to improve decision quality and operational performance. Work emphasizes advanced analytics using Databricks, SQL, R, Power BI, Python, and the Azure data stack.
Salary range: $100,003-120,000 plus 10% bonus
Remote hires will be required to travel to our headquarters in Ankeny, IA (company paid) on their first day for orientation.
At this time, we are NOT considering applicants that require 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.
Benefits
Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it.
Benefits include:
-PTO, holiday pay and holiday of choice
-401(k) match
-Life insurance
-Short-term disability
-Health, dental and vision insurance
-Maternity/paternity leave
-Health savings account (HSA)
-Flex spending accounts (FSA) – health and dependent
Position Responsibilities may include, but not limited to
  • Lead high‑impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives
  • Partner with business leaders to identify analytics opportunities and deliver actionable insights. Present findings and recommendations to partners and executive leadership in clear, compelling formats
  • Develop analytics products and solutions using Databricks, modern Business and Artificial Intelligence tools and Agile principles
  • Implement advanced analytics where applicable, leveraging Python for advanced analytics, automation, and integration with Databricks workflows
  • Architect and publish trusted Power BI datasets and dashboards (DAX, Power Query, semantic models), establishing standards for usability and adoption
  • Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses
  • Develop Python scripts for automation, data wrangling, and integration with Databricks and Azure services
  • Partner with Data Engineering on Azure data stack components (Data Factory, ADLS, Synapse/Fabric pipelines) for scalable data solutions
  • Own analysis quality: data validation, experiment/study design, sensitivity checks, and reproducibility (versioning, documentation)
  • Define and monitor KPIs; create executive scorecards and operational reporting that tie directly to business objectives
  • Coach/mentor analysts and BI developers; uplift storytelling, statistical thinking, and visualization craftsmanship across the team
  • Collaborate with Data Governance and Compliance to ensure appropriate use of PHI and adherence to privacy/security controls
  • Facilitate data stewardship and literacy across the business
  • Drive adoption of data products to scale data value
  • Stay current with emerging technologies and recommend enhancements to the analytics stack
Required Skills and Experience
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Economics or related field
  • 8–10+ years in analytics roles, including 3+ years leading projects
  • Proven impact delivering analytics in complex environments (multi‑source data, ambiguous scope) with measurable business outcomes
  • Experience operating in healthcare data environments (or demonstrated ability to quickly adapt to such contexts)
  • Demonstrated ability to mentor junior analytics professionals
  • Statistical and financial analytics expertise with deep understanding of appropriate study design and analysis techniques and business case development
  • Azure Data Stack: Data Factory, ADLS, Synapse/Fabric pipelines; familiarity with security and governance features
  • Databricks: Spark/SQL, notebooks & jobs, performance tuning, SQL Warehouses
  • SQL: Strong proficiency (ANSI/T‑SQL); query optimization over large, partitioned tables
  • R: Applied analytics using tidyverse/ggplot2; reproducible workflows; statistical testing and modeling fundamentals
  • Python: Data wrangling, automation, integration with Databricks and Azure services
  • Fabric and Power BI: Data modeling, DAX, Power Query (M), calculation groups, row‑level security, deployment pipelines
  • Versioning & Reproducibility: Git‑based workflows; disciplined documentation and peer review
  • Executive storytelling: distill and translate complex analyses into clear narratives and recommended actions or analytics solutions
  • Stakeholder partnership: influence cross‑functional partners; set expectations and drive alignment
  • Demonstrated ability to deliver projects with undefined, large and/or complex scope
  • Agile delivery
  • Mentorship: develop analysts’ craft (methodology, viz/design, communication)
  • Product mindset: define problem statements, success metrics, and iterate with feedback – drives adoption of analytics products and solutions
  • Ownership & judgment: operate independently, make sound trade‑offs, and uphold high quality standards
Preferred Skills and Experience
  • Master’s degree in Economics, Statistics, Data Science, Computer Science or related field
  • Certifications in Databricks, Power BI, or cloud platforms (Azure preferred)
  • Experience with machine learning frameworks and MLOps practices
  • Familiarity with data governance tools and compliance standards
  • Knowledge of advanced BI features (Power BI Copilot, AI-driven analytics)
  • Familiarity with healthcare risk adjustment models such as HCC and CDPS
  • Familiarity with claims groupers such as Milliman’s HCG
  • Product management training or analytics product delivery experience
Physical Requirements
  • Repetitive motions that include the wrists, hands and/or fingers
  • Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods
  • Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus

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