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Integration Engineer Jobs in Iowa (NOW HIRING)

Lightedge

Sr. AI Integration Engineer

Des Moines, IA · On-site

$101K - $136K/yr

The Senior AI Integration Engineer plays a central role in building, integrating, deploying, and supporting AI-driven workflows across Lightedge's core operational and business systems. This position ...

Viasat

Field Systems Integration Engineer

Nevada, IA · On-site

$121 - $190/hr

What you'll do As a member of our complex solutions engineering and technical account management ... You'll assist in resolving communication system issues,architect/integrate new solutions and ...

Lightedge

Sr. AI Integration Engineer

Des Moines, IA · Hybrid

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices make up a true Hybrid Cloud Solution Center. LightEdge annually undergoes third-party audits for ISO ...

PCT Ebeam and Integration

Sales Engineer

Davenport, IA · On-site

Our System Integration team assists our industrial clients throughout the U.S. with PLC programming, coordinated drive systems, legacy upgrades, safety upgrades, and custom machinery. Summary The ...

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All JobsIntegration Engineer JobsIntegration Engineer Jobs in Iowa

Integration Engineer information

See Iowa salary details

$41.8K

$116.7K

$163K

How much do integration engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for integration engineer in Iowa is $116,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $131,500.00 per year, depending on experience, location, and employer.

What is an integration engineer?

Integration Engineers are IT professionals who specialize in connecting different software systems, applications, or technologies to ensure they work together seamlessly. Their responsibilities often include designing integration solutions, troubleshooting issues, and maintaining data flow between systems. They collaborate with development, operations, and business teams to implement and optimize integrations, ensuring that the organization's technology ecosystem runs efficiently. Integration Engineers often work with APIs, middleware, and various programming languages to achieve these goals.

What are the key skills and qualifications needed to thrive as an integration engineer?

To thrive as an Integration Engineer, you need a solid background in computer science, experience with system integration, and proficiency in programming languages such as Java, Python, or C#. Familiarity with integration platforms (like MuleSoft, Dell Boomi, or Apache Camel), APIs, and relevant certifications is often required. Excellent problem-solving abilities, strong communication, and adaptability are vital soft skills in this role. These competencies ensure seamless connection of systems, effective troubleshooting, and smooth collaboration with cross-functional teams.

What are some common challenges integration engineers face when connecting disparate systems, and how are they typically addressed?

Integration Engineers often encounter challenges such as data format incompatibility, varying communication protocols, and legacy system limitations when connecting different software or hardware systems. To address these, they use middleware solutions, develop custom adapters, and leverage standardized APIs or integration platforms to ensure seamless data flow. Regular collaboration with software developers, IT staff, and business stakeholders is essential to understand system requirements and troubleshoot integration issues efficiently.

What is the difference between Integration Engineer vs Software Developer?

AspectIntegration EngineerSoftware Developer
CredentialsBachelor's in Computer Science or related field; certifications like Cisco, AWS may helpBachelor's in Computer Science or related field; coding certifications optional
Work EnvironmentCollaborates with IT, network teams, and clients to implement integrationsWorks primarily on coding, designing, and testing software applications
Industry UsageCommon in tech, healthcare, finance for system integrationsWidespread across all software development sectors
Search & Comparison IntentOften compared for technical skills and project scopeCompared for coding skills and software design expertise

The main difference is that Integration Engineers focus on connecting and configuring systems and software to work together seamlessly, often involving network and hardware components. Software Developers primarily design, code, and test software applications. Both roles require technical skills, but Integration Engineers emphasize system integration and interoperability, while Software Developers focus on creating software solutions.

How much do integration engineers make?

Integration engineers in general earn a median salary of around $80,000 to $120,000 annually, depending on experience, certifications, and the industry. In metropolitan areas, salaries tend to be higher due to cost of living and demand for technical skills such as API development, system integration, and cloud platforms.
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Integration Engineer jobs near you
Infographic showing various Integration Engineer job openings in Iowa as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $116,727 per year, or $56.1 per hour.

Sr. AI Integration Engineer

Des Moines, IA • On-site

Lightedge
IT Services • 51 - 200 employees
Learn more about Lightedgeexternal

$101K - $136K/yr

Full-time

Re-posted 4 days ago

Job description

LightEdge Solutions is developing the IT solutions that will propel businesses forward over the next 10 years. Using a combination of shared and private/dedicated platforms, LightEdge has been successful in offering businesses alternatives that streamline operations, improve reliability and reduce costs.
If you are passionate about creating real solutions that help businesses with cutting-edge technology, want to be challenged to think out of the box and be in a position where you can impact change on a daily basis, then LightEdge can offer you a dynamic corporate environment built on teamwork and personal responsibility.

The Senior AI Integration Engineer plays a central role in building, integrating, deploying, and supporting AI-driven workflows across Lightedge's core operational and business systems. This position is an execution partner to AI architecture leadership, helping translate agentic design concepts and approved business needs into production-ready AI agents, automations, and integrations that improve workflow execution, operational efficiency, and decision support.

The ideal candidate combines strong software engineering and systems integration skills with practical experience delivering AI-enabled workflows in business environments. This person must be comfortable working directly with stakeholders to gather requirements, refine scope, and iterate quickly, while also owning a backlog of business-facing AI workflows and serving as the primary technical owner for those workflows once they move into production.

Key Responsibilities
  • AI Agent, Harness & Workflow Development: Design, develop, and maintain production-grade AI agents, harnesses, workflows, services, and integrations that support internal business processes and cross-functional execution.
  • AI Agent & Workflow Lifecycle Management: Own the end-to-end lifecycle of AI agents and AI-driven workflows, from intake and requirements shaping through production readiness, deployment, monitoring, support, periodic review, and continuous improvement.
  • Stakeholder Partnership: Work directly with internal teams to gather requirements, refine scope, collect feedback, and translate business needs into practical AI-enabled workflow solutions.
  • Owned Backlog: Maintain and execute a backlog of high-value business-facing AI workflows and automations that align with Lightedge priorities across operations, support, sales, and other internal functions.
  • System Integration: Build and support integrations across enterprise systems such as ServiceNow, Salesforce, portals, APIs, middleware, and other workflow platforms used by the business.
  • Production Ownership: Serve as the primary technical owner for AI workflows once they move from prototype into production, unless and until a deliberate transition to another long-term owner is defined.
  • Operational Support: Provide first-level support for production AI workflows that support critical business processes, including monitoring, issue triage, defect resolution, incident coordination, and early-life stabilization.
  • Controls and Readiness: Implement the controls required for safe production adoption, including testing, evaluation, observability, secrets handling, approval steps, rollback planning, and change-management alignment.
  • Engineering Standards: Contribute to codebases, deployment pipelines, support practices, and implementation standards for AI-enabled workflow delivery.
  • Optimization: Monitor, evaluate, and optimize the accuracy, reliability, cost, and business effectiveness of deployed AI workflows and integrations.
  • Documentation: Maintain clear technical documentation, workflow diagrams, runbooks, support notes, and production-readiness artifacts for delivered solutions.
  • Cross-Functional Collaboration: Partner with AI architecture, Security, Compliance, IT, Operations, and platform teams to ensure AI workflows are secure, supportable, and aligned with governance requirements.
  • Communications: Regularly communicate delivery status, risks, support needs, and business impact to stakeholders and leadership.
  • Architecture Contribution: Contribute implementation insight and field feedback into broader AI design and governance decisions, while not serving as the primary owner of enterprise AI strategy or architecture.
Required Qualifications
  • Experience building and supporting production workflow integrations across enterprise systems such as ServiceNow, Salesforce, APIs, middleware, and related business platforms.
  • Experience taking prototypes, proofs of concept, or citizen-developed automations into governed production environments with appropriate controls, reliability, and supportability.
  • Experience supporting production applications, integrations, or automations with direct operational ownership responsibilities.
  • Working knowledge of security, access controls, logging, monitoring, and change-management practices for business-critical systems.
  • Strong proficiency in Python for AI integrations, workflow automation, and data processing.
  • Experience with one or more of JavaScript/TypeScript, Java, or C# for API and application development.
  • Experience building and supporting APIs, microservices, distributed systems, and CI/CD pipelines.
  • Experience translating business requirements into production-ready technical workflows and integrations.
  • Experience evaluating AI outputs, prompt behavior, workflow quality, and operational reliability before production release.
  • Experience deploying and supporting production systems in cloud environments such as AWS, Azure, or GCP.
  • Ability to work directly with stakeholders to gather requirements, define scope, and iterate based on feedback.
  • Excellent communication skills and ability to translate technical decisions into business impact.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • 5+ years of relevant experience in software engineering, systems integration, workflow automation, or AI-enabled application delivery.
Preferred Qualifications
  • Experience integrating AI-enabled workflows into ServiceNow, Salesforce, or similar enterprise platforms.
  • Experience building LLM-based applications, agents, or workflow automations using frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent tools.
  • Experience developing AI-powered assistants, copilots, or intelligent automation workflows used by business teams.
  • Experience with prompt engineering, evaluation, and tuning of generative AI systems in production contexts.
  • Experience with Kubernetes and container-based deployment models.
  • Experience with MCP-style integration patterns, orchestration layers, or agent-accessible tool frameworks.
  • Experience with SQL and working with operational or analytics data across enterprise platforms.
  • Familiarity with vector databases, RAG pipelines, and workflow patterns that combine structured system context with LLM reasoning.
  • Familiarity with observability, support runbooks, and incident response practices for automation or integration services.
  • Experience with enterprise LLM platforms including ChatGPT, Claude, Gemini, Copilot, or similar tools.
  • Previous experience owning a backlog of automation or AI workflow enhancements for internal business users.
Success Metrics
  • Timely delivery of production-ready AI workflows that move approved use cases from prototype into governed production.
  • Reduction in manual work, cycle time, or support effort through well-integrated AI automations.
  • Reliable operation and first-level support of AI workflows that support critical business processes.
  • Strong stakeholder adoption and satisfaction across the internal teams using delivered AI workflows.
  • Clear business ROI from deployed AI workflows and automations.
  • Growth of a prioritized backlog of business-facing AI workflows aligned to Lightedge objectives.
With over 20 years in business, LightEdge offers a full stack of best-in-class IT services delivering flexibility, security, and control. Our solutions include premier colocation across seven purpose-built data centers spanning Des Moines, IA, Kansas City, MO, Omaha, NE, Austin, TX, and Raleigh, NC, industry-leading private Infrastructure as a Service (IaaS) and cloud platforms, and the top global security and compliance measures. Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices make up a true Hybrid Cloud Solution Center. LightEdge annually undergoes third-party audits for ISO 20000-1, ISO 27001, HIPAA, PCI-DSS 3.2, and SSAE 18 SOC 1 Type II, SOC 2 Type II and SOC 3.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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