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Workato Integration Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Mumba Technologies, Inc.
Full Time position
Listed on 2026-03-05
Job specializations:
  • IT/Tech
    IT Consultant, Data Engineer, Cloud Computing, Systems Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: New York

We are seeking an experienced Integration Engineer with strong hands-on expertise in Net Suite and Workato to join our AI & Integrations team. This role will focus on designing, building, and maintaining scalable integrations across our ERP ecosystem, SaaS platforms, and AI-driven workflows.

You will partner closely with Finance, Rev Ops, IT, and Product teams to streamline business processes, automate workflows, and enable data-driven decision-making through secure and scalable integrations.

Key Responsibilities
  • Design, build, and maintain integrations between Net Suite and third-party systems using Workato
  • Develop and manage Workato recipes, triggers, actions, and error-handling frameworks
  • Support Net Suite ERP integrations including Finance, Order-to-Cash (O2C), Procure-to-Pay (P2P), and reporting workflows
  • Implement API-based integrations (REST/SOAP) and manage middleware architecture
  • Partner with AI and data teams to enable automation use cases leveraging structured ERP data
  • Monitor integration performance, troubleshoot failures, and optimize workflows
  • Manage data mapping, transformation logic, and governance standards
  • Ensure system scalability, security, and compliance best practices
  • Document integration architecture, SOPs, and technical workflows
Required Qualifications
  • 5–10 years of experience in ERP and systems integrations
  • Strong hands-on experience with Net Suite ERP
  • Proven expertise in building integrations using Workato
  • Experience with REST/SOAP APIs, webhooks, and middleware platforms
  • Knowledge of ERP data models (GL, AP, AR, Order Management, Inventory)
  • Experience with data mapping, transformations, and error handling
  • Familiarity with SQL and data validation practices
  • Strong problem-solving and cross-functional communication skills
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