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Data Modeling Jobs in Iowa (NOW HIRING)

AWS Data Engineer (Financial)

Cedar Rapids, IA · On-site

$112K - $134K/yr

Proven experience designing, optimizing, and maintaining relational data models to support reporting and analytics use cases in the Insurance and/or Financial Services industry. * T‑SQL: Strong ...

Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. As part of the Data and ...

Senior Data Engineer

Oskaloosa, IA · On-site

$99K - $135K/yr

Advanced knowledge of data architecture, modeling, integration, and engineering principles with the ability to design scalable, maintainable, and high-performing data solutions that support analytics ...

Senior Data Engineer

Oskaloosa, IA · On-site

$99K - $135K/yr

Advanced knowledge of data architecture, modeling, integration, and engineering principles with the ability to design scalable, maintainable, and high-performing data solutions that support analytics ...

Senior Data Engineer

Oskaloosa, IA · On-site

$99K - $135K/yr

Advanced knowledge of data architecture, modeling, integration, and engineering principles with the ability to design scalable, maintainable, and high-performing data solutions that support analytics ...

Senior Data Engineer

Oskaloosa, IA · On-site

$99K - $135K/yr

Advanced knowledge of data architecture, modeling, integration, and engineering principles with the ability to design scalable, maintainable, and high-performing data solutions that support analytics ...

Senior Data Engineer

Oskaloosa, IA · On-site

$99K - $135K/yr

Advanced knowledge of data architecture, modeling, integration, and engineering principles with the ability to design scalable, maintainable, and high-performing data solutions that support analytics ...

Build and support data models, algorithms, and statistical analyses for meaningful insights. * Stay updated on emerging data engineering technologies and trends, evaluating and implementing ...

New

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

Data Architect

Des Moines, IA · On-site

$135K - $152K/yr

Develop and maintain conceptual, logical, and physical data models. * Design scalable, end-to-end enterprise data architectures that support current and future business needs. * Build, prototype, and ...

Data Engineer

Cedar Rapids, IA · On-site

$112K - $135K/yr

Develop and maintain data models, testing frameworks, and technical documentation. * Monitor pipeline performance and troubleshoot data quality, schema, and workflow issues. * Collaborate with ...

Data Engineer

Cedar Rapids, IA · On-site

$100K - $120K/yr

Develop and maintain data models, testing frameworks, and technical documentation. * Monitor pipeline performance and troubleshoot data quality, schema, and workflow issues. * Collaborate with ...

Data Engineer

Cedar Rapids, IA · On-site

$112K - $135K/yr

Develop and maintain data models, testing frameworks, and technical documentation. * Monitor pipeline performance and troubleshoot data quality, schema, and workflow issues. * Collaborate with ...

Showing results 41-60

Data Modeling information

See Iowa salary details

$9

$55

$78

How much do data modeling jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data modeling in Iowa is $55.15, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $64.13 per hour, depending on experience, location, and employer.

What is a data modeling?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

What does a typical day look like for someone working in data modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What are the key skills and qualifications needed to thrive in data modeling, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures for databases and systems. It requires skills in database tools, understanding of business requirements, and often benefits from certifications like CBIP or data modeling tools such as ERwin or PowerDesigner. The role offers opportunities in various industries with a focus on data quality and efficiency.

Is data modeling hard to learn?

Data modeling can be challenging for beginners due to the need to understand database structures, relationships, and normalization concepts. However, with consistent study, practice, and familiarity with tools like ER diagrams and SQL, many learners can develop proficiency over time.

What are popular job titles related to Data Modeling jobs in Iowa?

For Data Modeling jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Data Modeling jobs in Iowa look for?

The top searched job categories for Data Modeling jobs in Iowa are:

Infographic showing various Data Modeling job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $114,706 per year, or $55.1 per hour.

Director Data Management- Hybrid- Des Moines, Iowa

Des Moines, IA • On-site

Other

Medical, Retirement, PTO

Posted 21 days ago


Key responsibilities

  • Define and own the enterprise data platform strategy, ensuring scalability, performance, and cloud optimization.

  • Oversee data modernization efforts, including migration from legacy Azure SQL Server to Azure Databricks Lakehouse.

  • Lead and mentor data engineers, fostering technical excellence and delivery accountability.


Job description

Director Data Management- Hybrid- Des Moines, Iowa

Job Category: Data & Analytics

Requisition Number: DIREC001980

  • Posted : August 12, 2026
  • Full-Time
  • Hybrid
Locations

Showing 1 location

Description

Wellabe is looking for a Director of Data Management to join our team. As a Director of Data Management, you will report to Chief Data & Analytics Officer and lead the design, delivery, and modernization of our enterprise data platform. This role will oversee the migration from legacy Azure SQL Server systems to an Azure Databricks Lakehouse using the medallion architecture, establishing a scalable, high-performance single source of truth that powers analytics, reporting, and AI/ML across the insurance value chain.

As a senior leader, you will guide the onsite and remote data engineering team, set data platform strategy, and ensure delivery of cloud-native, reliable, and business-ready data assets. You will partner with architecture, analytics, governance, and business leaders to align the enterprise data platform with business objectives.

Core Responsibilities
  • Define and own the enterprise data platform strategy, ensuring scalability, performance, and cloud optimization.
  • Oversee data modernization efforts, including migration from legacy Azure SQL Server to Azure Databricks Lakehouse.
  • Lead and mentor data engineers, fostering technical excellence and delivery accountability.
  • Partner with enterprise data and solution architects to ensure data models, pipelines, and platform design meet business needs.
  • Transform a fragmented data ecosytem to deliver a single source of truth for insurance domains.
  • Ensure data availability, scalability, and reliability for analytics, reporting, and digital initiatives.
  • Collaborate with analytics and data science teams to enable advanced analytics, AI/ML, and self-service data access.
  • Prioritize and manage the enterprise data portfolio, aligning data investments with business value, strategic initiatives, and operational outcomes.
  • Manage budget, resourcing, and vendor relationships to scale platform capabilities.
  • Stay current on emerging technologies (Databricks, streaming, AI/ML enablement) to evolve the platform roadmap.
  • Own the Databricks platform and help guide business users on adoption of the Lakehouse.
Qualifications
  • Expertise with Azure Data Services (Data Lake, Data Factory, Synapse, Event Hub, Key Vault).
  • Ability to lead teams while defining enterprise platform strategy and technical roadmap.
  • Excellent communication and leadership skills influence technical and business stakeholders.
  • Familiarity with the DAMA/DMBOK practice and standards.
  • Familiarity with streaming/real-time ingestion (Kafka, Event Hub) is required.
  • 10+ years of experience in data engineering, architecture, or platform leadership, with at least 5 years in team management. Insurance or financial services experience is required.
  • Proven success leading large-scale data modernization programs in Azure or similar cloud ecosystems in Databricks or Snowflake.
  • Hands-on experience with Databricks Lakehouse (PySpark, Delta Lake, Unity Catalog).
  • Strong background in data modeling, ETL/ELT frameworks, and data warehousing.
  • Experience working with compliance regulations and handling of PHI/PII data.
  • Exposure to AI/ML and data science workloads in Databricks or Snowflake.
  • Experience with DevOps and automation frameworks (Azure DevOps, Terraform, GitHub Actions).
Education
  • Bachelor's degree in computer science, business/data analytics, management information systems, information technology or related field. Combination of education and/or relevant work experience may be accepted in lieu of degree
  • 401(k) with company match
  • Health insurance
  • Paid time off, holidays
  • Volunteer time off
  • Lifestyle Spending Account (LSA)
  • Paternity leave
Growth opportunities

We believe each of us has potential to grow and adapt with our business. We take your career as seriously as you do. Helping you develop your skills and talents leads to opportunities — not only for you, but also for our company. That’s why we provide:

  • CliftonStrengths® assessment and coaching
  • On-site and virtual workshops and cohorts featuring world-class content from FranklinCovey, Crucial Learning, Gallup, and more
  • Free world-class insurance acumen courses through AHIP and LOMA
  • Reimbursement and bonus opportunities for professional designations and certifications, including a tuition reimbursement program
  • Opportunities to take part in Wellabe's mentorship programs

Since 1929, Wellabe has been finding solutions to help our customers protect their health and financial well-being. And we’re committed to fostering an internal culture of inclusivity, well-being, and development so each of our team members can succeed. Learn more about Wellabe’s culture of betterment by visiting wellabe.com/culture .

Wellabe is full of smart, caring, hard-working people with a broad range of talents who understand collaboration is key. We bring our best selves every day, to connect with others to solve problems, spark innovation, and bring ideas to life. Meet the team and learn what makes Wellabe a great place to work by visiting wellabe.com/news/employee-spotlights .

Our core values:

  • Be dedicated:Show unwavering commitment by proactively taking initiative, setting clear goals, and managing time effectively.
  • Be trustworthy:Take accountability for actions, navigate difficult conversations with integrity, and build strong relationships through consistent, honest behavior.
  • Be determined:Demonstrate enthusiasm and a relentless drive to overcome obstacles and achieve goals.
  • Be collaborative:Foster teamwork by being self-aware, actively listening, and effectively communicating across all levels.
  • Be open:Embrace diversity and new ideas to create an inclusive environment.
  • Be generous:Embody generosity and compassion by serving a greater purpose and helping others.
  • Be better:Commit to continuous improvement and adapt effectively to change.
  • Be well:Prioritize physical and mental health, manage stress, and demonstrate emotional intelligence.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

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