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Data Processing Jobs in Iowa (NOW HIRING)

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Data Processing information

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$11

$19

$32

How much do data processing jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data processing in Iowa is $19.04, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $21.01 per hour, depending on experience, location, and employer.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

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

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the most commonly searched types of Data Processing jobs in Iowa?

The most popular types of Data Processing jobs in Iowa are:

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

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

What cities in Iowa are hiring for Data Processing jobs?

Cities in Iowa with the most Data Processing job openings:

Infographic showing various Data Processing 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 $39,593 per year, or $19 per hour.

$49 - $67.50/hr

Other

Posted 20 days ago


Job description

Need Local to Des Moines, IAW2 role Python Developer

Location: Des Moines, IA โ€“ Onsite
Employment Type: Contract โ€“ W2
Duration: Through December 2026 + Extensions
Work Arrangement: Onsite

Job Description

We are looking for an experienced Python Developer with strong expertise in data engineering and cloud technologies. The ideal candidate will have hands-on experience with Python, PySpark, Snowflake, Databricks, and Microsoft Azure and will be responsible for developing scalable data solutions, building data pipelines, and working with large datasets in a cloud environment.

Mandatory Skills
  • Strong hands-on development experience with Python

  • Experience with PySpark for large-scale data processing and transformation

  • Strong working knowledge of Snowflake, including data modeling, querying, and performance optimization

  • Hands-on experience with Databricks and Spark-based data processing

  • Experience with Microsoft Azure and Azure-based data services

  • Experience developing and maintaining ETL/ELT data pipelines

  • Strong SQL and data-processing skills

  • Experience working with large-scale and complex datasets

  • Ability to troubleshoot data, performance, and integration issues

  • Strong communication and problem-solving skills

Preferred Skills
  • Experience with Microsoft Fabric

  • Familiarity with modern cloud data architectures and data lake/lakehouse concepts

  • Experience with CI/CD and version-control practices for data engineering projects

Key Responsibilities
  • Design, develop, test, and maintain scalable data applications using Python and PySpark

  • Develop and optimize ETL/ELT pipelines for large-scale data processing

  • Build data solutions using Snowflake and Databricks

  • Develop and support cloud-based data solutions within Microsoft Azure

  • Perform data transformations, integrations, and performance optimization

  • Collaborate with data engineers, architects, analysts, and business teams to understand requirements

  • Troubleshoot production issues and ensure reliability and performance of data pipelines

  • Follow coding standards, documentation practices, and development best practices

  • Participate in code reviews, testing, deployment, and production support activities

Required Qualifications
  • Bachelor''s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent professional experience

  • Strong hands-on experience in Python-based data engineering/development

  • Proven experience with Python, PySpark, Snowflake, Databricks, and Microsoft Azure

  • Ability to work onsite in Des Moines, Iowa

  • Candidates must be able to work on a W2 contract