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Data Modeling Jobs in Iowa (NOW HIRING)

GreatAmerica Financial Services

Data Architect

Cedar Rapids, IA · On-site

$62.50 - $80.25/hr

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 ...

GreatAmerica Financial Services

Data Architect

Cedar Rapids, IA · On-site

$62.50 - $80.25/hr

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 ...

GreatAmerica Financial Services

Data Architect

Des Moines, IA · On-site

$62.25 - $80/hr

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 ...

Aureon

Senior Data Architect

West Des Moines, IA · On-site

$61.75 - $82.50/hr

Design logical, physical, and conceptual data models to support analytics, reporting, AI/ML, and operational use cases * Establish and enforce data architecture standards, patterns, and best ...

Holmes Murphy

Data Engineer

West Des Moines, IA

$112.40K - $135K/yr

Data Modeling and Storage Optimization: Contribute to data modeling efforts, recommending storage solutions and structures that support analytical requirements. * Pipeline Monitoring and Optimization:

Holmes Murphy

Data Engineer

West Des Moines, IA · On-site

$112.40K - $135K/yr

Data Modeling and Storage Optimization: Contribute to data modeling efforts, recommending storage solutions and structures that support analytical requirements. * Pipeline Monitoring and Optimization:

Deloitte

Data Product Analyst

Davenport, IA

Project Delivery Model (PDM) is a talent model tailored specifically for long-term, onsite client service delivery. Work you'll do / Responsibilities You will support a Data & Analytics Foundry ...

Deloitte

Data Product Analyst

Des Moines, IA

Project Delivery Model (PDM) is a talent model tailored specifically for long-term, onsite client service delivery. Work you'll do / Responsibilities You will support a Data & Analytics Foundry ...

leeenterprises

Data Engineer

Davenport, IA

$108.60K - $130.40K/yr

Understanding of dimensional & relational data modeling principles, techniques, and use cases * Familiarity with data transformation tools such as dbt or Dataform * Knowledge of CI/CD and automation ...

leeenterprises

Data Engineer

Davenport, IA

$108.60K - $130.40K/yr

Understanding of dimensional & relational data modeling principles, techniques, and use cases * Familiarity with data transformation tools such as dbt or Dataform * Knowledge of CI/CD and automation ...

Guru Schools

Sr.Data Engineer

Des Moines, IA · On-site

$111.70K - $134.20K/yr

Data extraction through API experience, Snowflake experience, Erwin, data modeling Could this contract position lead to a potential full-time role? If yes, what is typical the conversion salary? * No ...

Wellmark, Inc.

Data Integration Analyst

Des Moines, IA · On-site

$21/hr

Strong analytical skills with the ability to read and understand data models and give input to data modeling based on data analysis results. * Strong communication skills (both written and verbal) to ...

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How much do data modeling jobs pay per hour?

As of May 31, 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 job?

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 are the key skills and qualifications needed to thrive in the Data Modeling position, 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.

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 four types of data modeling?

Data modeling in data analysis and database design typically includes four main types: conceptual, logical, physical, and dimensional modeling. Conceptual models define high-level data structures, logical models specify detailed structures without physical considerations, physical models translate logical models into actual database schemas, and dimensional models are used in data warehousing for analytical purposes. Data modelers often use tools like ER diagrams and require understanding of database systems and business requirements.
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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:
Data Modeling jobs near you
Infographic showing various Data Modeling job openings in Iowa as of May 2026, with employment types broken down into 2% Internship, 72% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $114,706 per year, or $55.1 per hour.
Principal Data Engineer

Principal Data Engineer

Berkshire Hathaway Energy

Des Moines, IA • On-site

$134.80K - $168.50K/yr

Full-time

Posted 11 days ago

Berkshire Hathaway Energy rating

6.5

Company rating: 6.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Job Description
As a Principal Data Engineer, you will design, build, and maintain scalable data pipelines and infrastructure to support analytics, reporting, and data science initiatives. You will work closely with cross-functional teams to ensure data is accessible, reliable, and secure across the organization.
Responsibilities
Primary Job Duties and Responsibilities (Essential Job Functions)
  1. Design and Develop Scalable Data Pipelines
    • Design and implement scalable data ingestion and transformation frameworks using Azure services enabling structured, semi-structured, and unstructured data to be efficiently processed and integrated into enterprise data platforms
    • Build and maintain robust ETL/ELT pipelines using Azure Data Factory and Azure Databricks.
    • Integrate data from diverse sources including on-premises systems, cloud storage, APIs, and streaming platforms.
  2. Databricks Development and Optimization
    • Develop and optimize notebooks and workflows in Azure Databricks using PySpark, SQL.
    • Implement Delta Lake for efficient data storage, versioning, and ACID transactions.
    • Leverage Databricks features such as Unity Catalog and job orchestration.
  3. Data Modeling and Architecture
    • Design and implement data models (star/snowflake schemas) for analytics and reporting.
    • Collaborate with architects to define data lakehouse architecture and best practices.
    • Hands-on experience implementing and optimizing data solutions using the Medallion Architecture (Bronze, Silver, Gold layers) for scalable and structured data processing
  4. Data Quality and Governance
    • Implement data validation, profiling, and cleansing routines.
    • Ensure compliance with data governance policies, including data lineage and metadata management.
  5. Performance Tuning and Monitoring
    • Monitor and optimize performance of Spark jobs and data pipelines.
    • Troubleshoot and resolve issues related to data latency, job failures, and resource utilization.
  6. Collaboration and Stakeholder Engagement
    • Work closely with data scientists, analysts, and business units to understand data requirements.
    • Translate business needs into technical solutions that are scalable and maintainable.
  7. Security and Compliance
    • Implement role-based access control (RBAC), encryption, and secure data handling practices.
    • Ensure compliance with industry regulations (e.g., NERC CIP, GDPR, HIPAA if applicable).
  8. Documentation and Best Practices
    • Maintain clear documentation of data flows, architecture, and operational procedures.
    • Promote best practices in code versioning, testing, and CI/CD for data engineering.

Qualifications
  • Bachelor's degree in information systems, Computer Science, or a related technical field; or equivalent work experience.
  • 10 years of experience with advanced knowledge of data architecture, cloud platforms (especially Azure), and enterprise data solutions.
  • Advanced understanding of data modeling, ETL/ELT processes, and performance tuning of enterprise-level applications.
  • Expert-level knowledge of data-related technologies from architecture to administration, including design, development, optimization, and licensing.
  • Proven experience working in the utility industry is required
  • Soft Skills:
  • Effective oral and written communication skills, with the ability to collaborate across teams and mentor junior engineers.
  • Strong analytical and problem-solving abilities.
  • Ability to prioritize and manage multiple tasks and projects concurrently.

About Us
MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation.
About the Team
MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation.

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