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Data Modernization Jobs in Iowa (NOW HIRING)

Senior Data Engineer

Des Moines, IA

$103K - $140K/yr

We areseekinga highly skilledSenior Data Engineerto guide the design, development, and delivery of ... Lead architecture reviews,establishengineering best practices, and guide platform modernization ...

Collaborate with developers and technical partners to design integrations, automation, and data flows across enterprise systems. * Ensure modernization decisions align with long-term architectural ...

Collaborate with developers and technical partners to design integrations, automation, and data flows across enterprise systems. * Ensure modernization decisions align with long-term architectural ...

Collaborate with developers and technical partners to design integrations, automation, and data flows across enterprise systems. * Ensure modernization decisions align with long-term architectural ...

Collaborate with developers and technical partners to design integrations, automation, and data flows across enterprise systems. * Ensure modernization decisions align with long-term architectural ...

Collaborate with developers and technical partners to design integrations, automation, and data flows across enterprise systems. * Ensure modernization decisions align with long-term architectural ...

This role supports enterprise modernization goals by providing support for modern approaches to hybrid-cloud administrative and engineering practices to eliminate expensive and inefficient legacy ...

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Data Modernization information

What jobs in the US pay 300,000 a year?

In the field of data modernization, senior roles such as Data Science Directors, Chief Data Officers, and Data Engineering Managers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. These positions often require a strong background in data architecture, analytics, and strategic planning, and may include bonuses or stock options that contribute to total compensation.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What jobs make $1,000,000 a year?

In the field of data modernization, high-paying roles such as Chief Data Officer, Data Science Director, or Chief Technology Officer can earn over $1 million annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data management, leadership, and strategic planning, along with strong industry reputation and sometimes equity compensation.

What is data modernization?

Data modernization is the process of updating and transforming legacy data systems and infrastructure to more current, scalable, and efficient technologies. It often involves migrating data to cloud platforms, implementing new data management tools, and adopting modern analytics practices to improve data accessibility and decision-making.

What are some common challenges faced by professionals working in Data Modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

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

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

Which 3 jobs will survive AI?

Data modernization roles such as data engineers, data architects, and database administrators are likely to persist as they require specialized knowledge of data systems, architecture, and security that AI cannot fully replicate. These jobs involve designing, managing, and securing complex data environments, often requiring certifications and hands-on expertise. Skills in data governance, cloud platforms, and programming remain essential for these positions.
What are popular job titles related to Data Modernization jobs in Iowa? For Data Modernization jobs in Iowa, the most frequently searched job titles are:
Senior QA/Test Analyst - SNAP Interfaces & Data Exchanges

Senior QA/Test Analyst - SNAP Interfaces & Data Exchanges

S2Tech

Des Moines, IA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Senior QA/Test Analyst - SNAP Interfaces & Data Exchanges
Location: Des Moines, IA (on-site)
About Us:
Known for "Delighting the Client" through performance, innovation, and an employee-centric culture, S2Tech is a fast-growing IT consulting company serving clients in over a quarter of the United States. We are widely recognized as a leading provider of both technical and business services in support of Health and Human Services-related projects. Feel free to learn more at www.s2tech.com.
Why S2Tech?:
  • Stable, privately-owned company with a strong reputation for building long-term client relationships through the delivery of consistent value-based service
  • 25+ years providing IT and Business services to private customers and government programs throughout the United States
  • Expansive client portfolio and active projects - employees benefit from innovative project exposure and in-house skill development training/courses
  • Corporate culture that emphasizes the importance of family and promotes a healthy work-life balance
  • Offer competitive pay and a range of benefits, including:
    • Medical / Dental / Vision Insurance - insurance premium assistance provided
    • Additional Insurance (Life, Disability, etc.)
    • Paid Time Off
    • 401(k) Retirement Savings Plan & Health Savings Account
    • Various training courses to promote continuous learning
    • Corporate Wellness Program
  • Be part of a company that gives back through its non-profit organization, Fortune Fund, which was launched in 2001. The goal of the Fortune Fund is to close the rural/urban divide by ensuring children in rural communities in India and the United States understand the importance of education & are aware of professional career opportunities, allowing them to link their professional & educational goals

Job Overview:
We are seeking a Senior QA/Test Analyst with strong SNAP eligibility system experience to support testing of interfaces, integrations, and data exchanges for a large-scale eligibility modernization initiative. This role will focus on validating data movement, interface processing, batch jobs, and system integrations that support SNAP eligibility determination and benefit administration.
The ideal candidate possesses a strong understanding of SNAP business processes along with experience testing complex interfaces, data exchanges, and system integrations. This individual will work closely with State stakeholders, solution leads, and offshore development teams to ensure high-quality system integration and data accuracy.
Responsibilities:
  • Develop and execute manual test cases for interfaces, integrations, data exchanges, and batch processing functions
  • Validate inbound and outbound file exchanges, API transactions, and system-to-system integrations
  • Verify data accuracy, completeness, and integrity across integrated systems
  • Perform functional, integration, regression, end-to-end, and user acceptance testing activities
  • Validate eligibility-related transactions, benefit issuance processing, and interface-driven workflows
  • Review interface specifications, requirements, mapping documents, and technical designs to identify test scenarios
  • Document and manage defects, supporting troubleshooting and resolution activities
  • Collaborate with developers, business analysts, solution leads, and offshore teams to validate system functionality and issue remediation
  • Utilize AI-assisted tools such as Microsoft Copilot to support testing, analysis, and documentation activities
  • Support production readiness, deployment validation, and post-implementation verification activities

Required Qualifications:
  • 5+ years of overall experience; should have experience testing public sector eligibility systems, Integrated Eligibility systems, or large-scale government modernization initiatives
  • Strong understanding of SNAP eligibility operations and supporting business processes
  • Experience testing interfaces, integrations, data exchanges, batch processes, and file transfers
  • Experience creating and executing manual test scripts and documenting test results
  • Experience performing data validation and reconciliation activities
  • Experience supporting System Integration Testing (SIT), User Acceptance Testing (UAT), and regression testing
  • Strong analytical, troubleshooting, and communication skills

Preferred Qualifications:
  • Experience testing Java-based interfaces and integration solutions
  • Experience testing APIs, web services, file-based integrations, and batch processing systems
  • Experience with Azure DevOps, JIRA, ALM, or similar test management tools
  • Experience utilizing Microsoft Copilot or other AI-assisted testing tools
  • Prior consulting experience supporting government clients

S2Tech is committed to hiring and retaining a diverse workforce. We are an equal opportunity employer making decisions without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected class.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.