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Data Engineer Jobs in Iowa (NOW HIRING)

Data Engineer

Davenport, IA

$108K - $130K/yr

Lee Enterprises, Inc. is seeking a qualified Data Engineer who will be responsible for designing, building, and optimizing the data infrastructure that powers enterprise analytics, reporting, and ...

Data Engineer

Davenport, IA

$108K - $130K/yr

Lee Enterprises, Inc. is seeking a qualified Data Engineer who will be responsible for designing, building, and optimizing the data infrastructure that powers enterprise analytics, reporting, and ...

Data Engineer

Davenport, IA · On-site

$108K - $130K/yr

Lee Enterprises, Inc. is seeking a qualified Data Engineer who will be responsible for designing, building, and optimizing the data infrastructure that powers enterprise analytics, reporting, and ...

Data Engineer

West Des Moines, IA

$112K - $135K/yr

We are looking to add a Data Engineer to join our Information Technology team in West Des Moines, IA . Offering a forward-thinking, innovative, and vibrant company culture, along with the opportunity ...

Data Engineer

Iowa City, IA

$99K - $119K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Waterloo, IA

$106K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Sioux City, IA

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

West Des Moines, IA · On-site

$112K - $135K/yr

We are looking to add a Data Engineer to join our Information Technology team in West Des Moines, IA . Offering a forward-thinking, innovative, and vibrant company culture, along with the opportunity ...

Data Engineer

Des Moines, IA · On-site

$111K - $134K/yr

The Data Engineer will be responsible for the retrieval, storage, and distribution of data across various platforms, creating data pipelines and ensuring data integrity to support new business ...

Data Engineer

Cedar Rapids, IA

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Des Moines, IA

$111K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Davenport, IA

$108K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Clinton, IA

$108K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Cedar Rapids, IA · On-site

$112K - $135K/yr

The Data Engineer role involves retrieving, storing, and distributing data across various platforms, while enhancing the data platform to support new business relationships and consumer products.

Data Engineer

Cedar Rapids, IA · On-site

$120K - $145K/yr

... Data Engineer is responsible for the retrieval, storage, and distribution of data across varied platforms and data stores, including modern ETL/ELT pipelines such as Azure Data Factory, as well as ...

Associate Data Engineer

Urbandale, IA · On-site

$106K - $127K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital, Marketing, and Pro CX at Pella is responsible for building and maintaining the data foundations that ...

Associate Data Engineer

Urbandale, IA · On-site +1

$108K - $130K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital, Marketing, and Pro CX at Pella is responsible for building and maintaining the data foundations that ...

Associate Data Engineer

Urbandale, IA · On-site +1

$108K - $130K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital, Marketing, and Pro CX at Pella is responsible for building and maintaining the data foundations that ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

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Showing results 1-20

Data Engineer information

See Iowa salary details

$41.8K

$121.8K

$166.7K

How much do data engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for data engineer in Iowa is $121,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
What are the most commonly searched types of Data Engineer jobs in Iowa? The most popular types of Data Engineer jobs in Iowa are:
What are popular job titles related to Data Engineer jobs in Iowa? For Data Engineer jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Iowa look for? The top searched job categories for Data Engineer jobs in Iowa are:
What cities in Iowa are hiring for Data Engineer jobs? Cities in Iowa with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in IA? For Data Engineer jobs in IA, the most frequently searched job titles are:
Infographic showing various Data Engineer job openings in Iowa as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,838 per year, or $58.6 per hour.

$108K - $130K/yr

Other

Posted 2 days ago


Job description

Lee Enterprises, Inc. is seeking a qualified Data Engineer who will be responsible for designing, building, and optimizing the data infrastructure that powers enterprise analytics, reporting, and data-driven applications. This role focuses on developing scalable data pipelines, ensuring data quality, and enabling efficient access to data across the organization.

This position will be located onsite in Davenport, IA. 

Job Duties & Responsibilities: 

  • Design, develop, and maintain scalable ETL/ELT data pipelines
  • Build, optimize, and manage datasets for analytics, reporting, and operational use
  • Ensure data quality, integrity, security, and adherence to privacy standards
  • Collaborate with teams across the organization to understand business needs, internalize product requirements, adapt to any technical or development limitations, and deliver effective data solutions
  • Write optimized & performative SQL queries across data management systems, including Google BigQuery, MS SQL Server, and Oracle
  • Maintain the organization & relevance of technical documentation, event specifications, and other critical resources in the data services Confluence workspace
  • Employ data transformation tools such as dbt or Dataform to manage, test, and document data workflows
  • Develop data integration pipelines and synchronization functions as needed using languages such as Javascript or Python
  • Support data platform migrations and transitions that may impact customers and internal Lee stakeholders
  • Enhance the current internal data monitoring framework to minimize response time identifying issues & bugs that impact our data services
  • Use git for version control
  • Participate in agile/scrum ceremonies, including daily stand-up, sprint planning, sprint review, and sprint retrospective
  • Pursue opportunities to continuously learn & adopt modern data engineering practices

Required Skills:

  • Mastery of SQL, with system-agnostic knowledge of syntax & optimization
  • Proficiency across Google Cloud Platform, specifically BigQuery, Google Analytics, Google Tag Manager, Dataform, and Dataplex Universal Catalog
  • Experience with relational database management systems, such as MS SQL Server & Oracle
  • 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 tooling
  • Ability to communicate across both technical & non-technical audiences
  • Strong problem-solving skills, attention to detail, and ability to learn quickly

Education and Experience:

  • Bachelor’s degree in computer science, information systems, or a related field
  • Proven experience as a Data Engineer or similar role


Travel Required:

  • Minimal travel may be required for meetings at corporate offices or conferences