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Intelligent Document Processing Jobs (NOW HIRING)

NuByt, Inc

Be Seen First

Senior Boomi Integration Engineer

Seattle, WA · On-site

$65 - $75/hr

Implement Intelligent Document Processing (IDP) solutions * Design robust monitoring, logging, and error-handling frameworks * Integrate enterprise applications including Salesforce, Workday, Oracle ...

NuByt, Inc

Be Seen First

Senior Boomi Integration Engineer

Seattle, WA · On-site

$65 - $75/hr

Implement Intelligent Document Processing (IDP) solutions * Design robust monitoring, logging, and error-handling frameworks * Integrate enterprise applications including Salesforce, Workday, Oracle ...

Notable Systems Inc

Senior Golang Engineer

Denver, CO · Remote

$150K - $180K/yr

Trusted by HME News' 2025 Provider of the Year and industry leaders who collectively process tens of millions of orders annually, our intelligent document processing platform supports the entire ...

Valley Bank

AI Engineer

Saint Petersburg, FL · On-site

Develop and maintain Intelligent Document Processing (IDP) solutions leveraging OCR, document classification, data extraction, and validation techniques. * Collaborate with business and technology ...

Notable Systems Inc

Senior Golang Engineer

Denver, CO · On-site +1

$150K - $180K/yr

Trusted by HME News' 2025 Provider of the Year and industry leaders who collectively process tens of millions of orders annually, our intelligent document processing platform supports the entire ...

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Intelligent Document Processing information

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How much do intelligent document processing jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for intelligent document processing in the United States is $20.63, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $24.52 per hour, depending on experience, location, and employer.

What are the main challenges faced by professionals working in Intelligent Document Processing, and how can they be addressed?

Professionals in Intelligent Document Processing (IDP) often encounter challenges such as handling diverse document formats, ensuring data accuracy, and integrating IDP solutions with existing systems. Managing unstructured data and constantly evolving document types requires strong analytical and technical skills. To overcome these challenges, it's important to stay current with the latest IDP software, collaborate closely with IT and business teams to define requirements, and continuously monitor and improve data extraction processes for accuracy and compliance.

What are the key skills and qualifications needed to thrive as an Intelligent Document Processing Specialist, and why are they important?

To thrive as an Intelligent Document Processing Specialist, you need a solid background in data analysis, document management, and familiarity with automation or AI-driven extraction tools, often supported by a degree in computer science or a related field. Expertise in technologies such as OCR (Optical Character Recognition), RPA (Robotic Process Automation), and platforms like UiPath or ABBYY is typically required, with certifications in these tools being advantageous. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills for success in this role. These competencies ensure accurate data extraction, streamlined workflows, and successful collaboration across departments, ultimately driving operational efficiency.

What is the difference between Intelligent Document Processing vs Data Analyst?

AspectIntelligent Document ProcessingData Analyst
Required CredentialsTypically certifications in AI, OCR, or document managementDegree in statistics, mathematics, or related field
Work EnvironmentAutomation-focused, often in tech or finance sectorsData analysis, reporting, and visualization in various industries
Employer & Industry UsageUsed by companies automating document workflowsUsed by organizations analyzing data for insights

Intelligent Document Processing focuses on automating the extraction and management of data from documents using AI and OCR technologies. Data Analysts interpret and analyze data sets to provide business insights. While both roles involve data, Intelligent Document Processing emphasizes automation of document workflows, whereas Data Analysts focus on data interpretation and reporting.

What is Intelligent Document Processing?

Intelligent Document Processing (IDP) is a technology that uses artificial intelligence, machine learning, and optical character recognition (OCR) to automatically extract, classify, and process data from a wide variety of documents. This includes both structured forms and unstructured documents like emails, invoices, and contracts. IDP streamlines workflows by minimizing manual data entry, increasing accuracy, and accelerating the handling of large volumes of documents in industries such as finance, healthcare, and insurance.
Infographic showing various Intelligent Document Processing job openings in the United States as of June 2026, with employment types broken down into 3% Internship, 89% Full Time, 3% Part Time, and 5% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $42,911 per year, or $20.6 per hour.

Senior Boomi & Workato Integration Engineer

NUBYT, INC.

San Francisco, CA

Other

Posted 20 days ago

Job description

About the Role

We are seeking an experienced Senior Integration Engineer with deep expertise in Boomi, Workato, and enterprise payroll/HCM integrations. This role will focus on building scalable, secure, and high-performing integration solutions across enterprise systems including Workday, Oracle Fusion HCM, Salesforce, ADP, Dayforce, Fidelity, and related platforms.

The ideal candidate combines strong middleware architecture experience with modern AI-driven automation capabilities.

Key Responsibilities

  • Design, develop, and maintain payroll integration solutions using Boomi
  • Build complex integration recipes on the Workato platform
  • Architect scalable enterprise integration solutions across business systems
  • Develop AI-powered automation workflows using Workato Genie
  • Build and deploy MCP (Model Context Protocol) servers
  • Implement Intelligent Document Processing (IDP) solutions
  • Design robust monitoring, logging, and error-handling frameworks
  • Integrate enterprise applications including Salesforce, Workday, Oracle, ADP, and Dayforce
  • Develop and optimize SQL & PL-SQL queries
  • Provide production support for mission-critical integrations
  • Implement SFTP, HTTP, REST, and API-based integrations
  • Troubleshoot and resolve integration issues
  • Maintain integration documentation and best practices

Required Qualifications

  • 8+ years of hands-on Boomi integration experience
  • Strong experience integrating Payroll, HR, or Time & Attendance systems
  • Experience with platforms such as Workday HCM, ADP, Dayforce, Oracle Fusion HCM, Fidelity, Navia, etc.
  • 6+ years integrating enterprise business applications
  • 4+ years of Workato experience
  • Strong Workato recipe development expertise
  • Experience with API integrations and middleware architecture
  • 3 5 years of SQL / PL-SQL experience
  • 4+ years supporting production integrations
  • Strong troubleshooting and communication skills

Preferred Qualifications

  • Experience with Salesforce integrations
  • Experience with AI automation workflows
  • Exposure to MCP servers and AI agent orchestration
  • Familiarity with Intelligent Document Processing (IDP)

Apply