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Data Processing Jobs in Iowa (NOW HIRING)

Jobs - FAPT

$53K - $70K/yr

This is an experienced accounting position at the district level requiring an overall knowledge of bookkeeping, accounting and further understanding of the interrelationship between data processing ...

The School District Of Osceola County FL

$53K - $70K/yr

This is an experienced accounting position at the district level requiring an overall knowledge of bookkeeping, accounting and further understanding of the interrelationship between data processing ...

Purple Drive Technologies

Snowflake Tech Lead

Davenport, IA · On-site

$41K - $54K/yr

... data ingestion and processing pipelines using Java Spark Scala Python and AWS Services. * 2 years of hands on experience designing and implementing production grade data warehousing solutions on ...

FARMER MAC

Data Scientist - Credit Analytics

Johnston, IA · On-site

$115K - $160K/yr

Recommend analytical and data process improvements * Develop and maintain procedures and documentation for assigned projects * Follow Farmer Mac's model risk management and AI governance best ...

CONAGRA

Senior Reliability Engineer

Council Bluffs, IA

$82K - $120K/yr

... Data Processing Plant Maintenance module • Drive asset risk management by identifying high‑risk assets and recommending or leading risk elimination or mitigation plans • Establish strong ...

Purple Drive Technologies

Snowflake Tech Lead

Davenport, IA · On-site

$41K - $54K/yr

... data ingestion and processing pipelines using Java Spark Scala Python and AWS Services. * 2 years of hands on experience designing and implementing production grade data warehousing solutions on ...

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How much do data processing jobs pay per hour?

As of Jun 9, 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 are the key skills and qualifications needed to thrive in the Data Processing position, 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 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 is a Data Processing job?

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 job makes $10,000 a month without a degree?

In data processing, high-paying roles such as data analysts or data engineers can earn around $10,000 per month, especially with specialized skills in programming, database management, and data analysis tools. These positions often require experience and proficiency in software like SQL, Python, or cloud platforms, but may not always require a formal degree if skills are demonstrated through certifications or a strong portfolio.
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 job categories do people searching Data Processing jobs in Iowa look for? The top searched job categories for Data Processing jobs in Iowa are:
What cities in Iowa are hiring for Data Processing jobs? Cities in Iowa with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Iowa as of May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $39,593 per year, or $19 per hour.
Systems Analyst 3 - Data Engineer

Systems Analyst 3 - Data Engineer

Sammons Financial Group Companies

West Des Moines, IA • On-site

Full-time

Posted 28 days ago

Sammons Financial Group rating

8.8

Company rating: 8.8 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

53rd of 260 rated insurance

Job description

Job Summary:
Sammons Financial Group is seeking a Systems Analyst – Data Engineer to design, develop, and implement scalable data and integration solutions that power Life analytics and operations. The role requires strong technical expertise in data platforms and focuses on enabling high-quality data flow and seamless integration while supporting emerging analytics and AI use cases.
Responsibilities:
• Design, develop, and implement scalable data ingestion, integration, and processing pipelines across cloud platforms (Azure, Snowflake/ and similar EDW/Lakehouse platforms , AWS).
• Develop and manage data orchestration workflows using tools such as Azure Data Factory (ADF), Azure Data Lake (ADLS), dbt, and comparable technologies.
• Ingest and process large volumes of structured, semi-structured, and unstructured data, including compressed formats (e.g., .tar), and automate extraction, transformation, and loading processes.
• Design and implement modern data lakehouse architectures, including Iceberg (or similar table formats), to support scalable and high-performance analytics.
• Develop and maintain data models that accurately represent complex relationships within life insurance and policy administration domains.
• Integrate enterprise data platforms with internal and external systems (e.g., APIs, Kafka, MuleSoft) to enable real-time and batch data exchange.
• Collaborate with product owners, architects, analysts, and developers to translate business, functional, and non-functional requirements into scalable technical solutions.
• Establish and enforce data engineering standards, best practices, and governance controls across ingestion, transformation, and storage layers.
• Implement data quality validation, reconciliation processes, and error handling to ensure accuracy, consistency, and reliability of data pipelines.
• Monitor pipeline performance, reliability, scalability, and cost efficiency; recommend and implement improvements.
• Research and recommend emerging tools, patterns, and technologies to improve data ingestion, processing, integration, and enablement of AI-driven use cases.
• Build and support backend data systems, APIs, distributed services, and orchestration layers for secure enterprise use.
• Support enterprise data integration capabilities across Azure, Snowflake, and similar platforms to unify, govern, and operationalize data for analytics and AI applications.
• Support code versioning, CI/CD pipelines, and controlled deployment of data engineering assets.
• Troubleshoot pipeline, data, and platform issues across development, testing, and production environments.
• Provide operational support, including on-call or on-demand support for critical data processes.
Qualifications:
Required:
• Strong technical expertise in Snowflake/ similar EDW/Lakehouse platforms
• SQL
• Python
• Cloud-based data platforms (Azure, AWS)
• Design, develop, and implement scalable data ingestion, integration, and processing pipelines across cloud platforms
• Develop and manage data orchestration workflows using tools such as Azure Data Factory (ADF), Azure Data Lake (ADLS), dbt, and comparable technologies
• Ingest and process large volumes of structured, semi-structured, and unstructured data, including compressed formats (e.g., .tar), and automate extraction, transformation, and loading processes
• Design and implement modern data lakehouse architectures, including Iceberg (or similar table formats), to support scalable and high-performance analytics
• Develop and maintain data models that accurately represent complex relationships within life insurance and policy administration domains
• Integrate enterprise data platforms with internal and external systems (e.g., APIs, Kafka, MuleSoft) to enable real-time and batch data exchange
• Collaborate with product owners, architects, analysts, and developers to translate business, functional, and non-functional requirements into scalable technical solutions
• Establish and enforce data engineering standards, best practices, and governance controls across ingestion, transformation, and storage layers
• Implement data quality validation, reconciliation processes, and error handling to ensure accuracy, consistency, and reliability of data pipelines
• Monitor pipeline performance, reliability, scalability, and cost efficiency; recommend and implement improvements
• Research and recommend emerging tools, patterns, and technologies to improve data ingestion, processing, integration, and enablement of AI-driven use cases
• Build and support backend data systems, APIs, distributed services, and orchestration layers for secure enterprise use
• Support enterprise data integration capabilities across Azure, Snowflake, and similar platforms to unify, govern, and operationalize data for analytics and AI applications
• Support code versioning, CI/CD pipelines, and controlled deployment of data engineering assets
• Troubleshoot pipeline, data, and platform issues across development, testing, and production environments
• Provide operational support, including on-call or on-demand support for critical data processes
• Criminal background check required
Preferred:
• College Degree in the field of computer science, information science, management information systems
• Minimum 8 years' IT development experience or equivalent
• Effective verbal and written communications skills and the ability to communicate with business partners and other IT staff
• Problem solving skills sufficient to perform research and recommend a proposed solution to problems
• Able to work on multiple tasks and meet established deadlines
• Able to effectively direct and coordinate the work of other team members on a project without having HR management responsibility for them
• Knowledge of computer programming languages as required for the system
• Certifications in Snowflake
• Experience with Python or Java for data processing and automation
• Familiarity with emerging technologies supporting AI/ML and advanced analytics
• Experience working in Agile delivery models and cross-functional enterprise environments
Company:
Sammons® Financial Group Companies (collectively, Sammons Financial Group) provide today’s most sought after life insurance, annuity, and retirement products. Founded in 1938, the company is headquartered in West Des Moines, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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