Finance Systems Integration Engineer

Responsibilities

Core Focus: Integration Development & ERP Support

• Design, build, and maintain integrations connecting ERP systems with downstream applications including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions.
• Support integration development and testing during ERP implementation projects.
• Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication.
• Implement real-time and batch integration patterns supporting high-volume financial transactions.
• Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity.
• Document integration architectures, data flows, API specifications, and troubleshooting procedures.
• Collaborate with implementation consulting partners and vendors on technical integration requirements.

Additional Scope: AI Automation & Data Infrastructure

AI Agent Development

• Build and deploy Claude-powered AI agents that automate financial operations including intelligent document processing, workflow automation, financial audit and reconciliations, and self-service reporting.
• Design agentic workflows that leverage Claude API capabilities integrated with ERP platform data and processes.
• Create automated validation and quality assurance processes for AI-generated outputs.
• Partner with Finance teams to identify automation opportunities and translate requirements into AI agent solutions.

Data Pipeline Support

• Support data pipeline development using Airflow for workflow orchestration and dbt for data transformation.
• Build and maintain data flows from ERP and other financial systems into BigQuery for analytics and reporting.
• Implement data quality checks and testing frameworks for financial data pipelines.
• Collaborate with Data Infrastructure team on pipeline architecture, performance optimization, and security monitoring.
• Support executive dashboards and financial analytics by ensuring timely, accurate data delivery.

Governance & Collaboration

• Maintain comprehensive documentation for integrations, AI agents, and data pipelines.
• Support internal and external audits with technical evidence and system access reviews.
• Collaborate with Finance Systems Engineers on operational support, troubleshooting, and enhancement requests.
• Partner with Finance Operations, Accounting, FP&A, Engineering, and Data Infrastructure teams to deliver holistic solutions.

Requirements

• 8+ years of experience in integration development, data engineering, or systems engineering roles.
• Hands-on experience with iPaaS platforms such as Workato, MuleSoft, Dell Boomi, or similar integration tools.
• Strong programming skills in Python and/or JavaScript/TypeScript for building custom integrations, APIs, and automation scripts.
• Experience with data pipeline tools including Airflow for orchestration and dbt for transformation.
• Working knowledge of cloud data platforms such as BigQuery, Snowflake, or Databricks.
• Understand REST API design patterns, webhooks, OAuth 2.0, and modern integration architectures.
• Familiarity with ERP systems (Oracle Fusion, Workday Financials, or similar) and financial business processes.
• Strong problem-solving skills with ability to debug complex integration issues across multiple systems.
• Thrive in a fast-paced, high-growth environment balancing innovation with operational stability.
• Excellent communication skills to collaborate with technical and business stakeholders.
• Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field.

Nice-to-Haves

• Experience with high-growth technology companies scaling through rapid revenue expansion (5x-10x growth).
• Background in AI/ML companies with familiarity in modern SaaS business models including consumption-based pricing, usage metering platforms, and marketplace billing.
• Hands-on experience with specific platforms: Workday Financials (Workday Studio, EIB, custom reports, Prism Analytics).
• Technical expertise with modern finance tech stack including Stripe, Salesforce, Zuora RevPro, Zip Procurement, Clearwater treasury systems, Pigment planning tools, Numeric close management.
• Experience with AI/LLM integration for financial operations, including document processing, data extraction, intelligent automation, and agentic workflows (familiarity with Claude models and API is a plus).
• Hands-on experience with modern data stack tools: BigQuery/Snowflake/Databricks, dbt for data transformation, Airflow for workflow orchestration.
• Professional certifications such as Workato, Workday integrations, or relevant technical credentials.
• Experience with business intelligence and financial reporting tools (Hex, Looker, Tableau, Power BI) for executive dashboards and financial analytics.