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Data Modeling Jobs in Iowa (NOW HIRING)

Accenture

Google Data Specialist

Des Moines, IA · On-site

$70K - $196K/yr

Contribute to model testing, validation, and documentation. 3. Requirements Gathering & Client Collaboration * Participate in client workshops to understand data needs, use cases, and technical ...

leeenterprises

Data Engineer

Davenport, IA · On-site

$108K - $130K/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 ...

Mom's Meals

Principal Data Analyst

Ankeny, IA · On-site +1

The Principal Data Analyst is a senior, hands-on analytics leader who turns complex, cross ... Architect and publish trusted Power BI datasets and dashboards (DAX, Power Query, semantic models ...

Mom\'s Meals

Principal Data Analyst

Ankeny, IA · Remote

The Principal Data Analyst is a senior, hands-on analytics leader who turns complex ... Architect and publish trusted Power BI datasets and dashboards (DAX, Power Query, semantic models ...

Mom's Meals

Principal Data Analyst

Ankeny, IA · Remote

The Principal Data Analyst is a senior, hands-on analytics leader who turns complex ... Architect and publish trusted Power BI datasets and dashboards (DAX, Power Query, semantic models ...

Pwc

AI & GenAI Data Scientist - Manager

Des Moines, IA · On-site

$99K - $232K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the ...

1 point system

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 ...

Pella Corporation

Associate Data Engineer

Urbandale, IA · On-site

$106K - $127K/yr

This role focuses on designing data pipelines, transforming and modeling data, and ensuring high-quality, well-governed data is available for analytics, reporting, and advanced use cases. This ...

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Data Modeling information

See Iowa salary details

$9

$55

$78

How much do data modeling jobs pay per hour?

As of Jun 22, 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.

Will AI replace data modelers?

AI tools can automate certain aspects of data modeling, such as generating schemas or identifying patterns, but data modelers are essential for designing complex data structures, understanding business needs, and ensuring data quality. Human expertise remains critical for interpreting requirements and making strategic decisions, making the role of a data modeler unlikely to be fully replaced by AI in the near future.

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 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.

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.

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 does a data modeler do?

A data modeler designs and creates data models to organize and structure data for databases and information systems. They analyze data requirements, develop schemas, and use tools like ER diagrams to ensure data consistency and efficiency. Strong knowledge of data management, modeling techniques, and database systems is essential for this role.

Is 40 too late for data science?

Data modeling is a key skill in data science, and individuals can enter the field at any age with relevant skills, experience, and continuous learning. Many professionals successfully transition into data science later in their careers by acquiring programming, statistical, and analytical tools, making age less of a barrier than skill development and practical experience.
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:
Data Modeling jobs near you
Infographic showing various Data Modeling job openings in Iowa as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid 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

Full-time

Posted 3 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

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.

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.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.
  • 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.

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.

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