Integration Engineer

Harvey Harvey · AI Frontier · New York, NY · IT

This role focuses on building and maintaining integrations and data pipelines for core enterprise systems (Salesforce, NetSuite, Workday, Marketo, Snowflake) to automate business processes like Lead-to-Cash and employee lifecycle. It involves using iPaaS platforms, scripting (Python, JavaScript), and API standards to ensure data sync and reliability. The role is part of the IT team and contributes to evolving the enterprise integration platform.

What you'd actually do

  1. Build and maintain integrations between Harvey's core enterprise systems (Salesforce, NetSuite, Workday, Marketo, Snowflake) using iPaaS platforms and custom code.
  2. Develop data pipelines and transformation logic to ensure accurate, timely data flows across the Lead-to-Cash lifecycle, including opportunity management, CPQ, order creation, billing, and revenue recognition.
  3. Implement and maintain reverse ETL pipelines that sync data from the warehouse back to GTM, Finance, and operational teams where they work.
  4. Design and build custom application workflows that automate business processes such as order management, employee onboarding, and marketing operations.
  5. Establish and enforce integration standards including error handling, logging, monitoring, alerting, and retry logic to maintain 99.9% reliability of business-critical data flows.

Skills

Required

  • Integration Engineering
  • Business Systems Engineering
  • Software Engineering
  • iPaaS platforms
  • Python
  • JavaScript
  • REST
  • SOAP
  • GraphQL
  • OAuth
  • SAML
  • API keys
  • Salesforce
  • NetSuite
  • Workday
  • Marketo
  • Snowflake
  • data modeling
  • schema mapping
  • data transformation
  • debugging
  • troubleshooting
  • communication skills

Nice to have

  • Salesforce CPQ
  • Lead-to-Cash
  • Quote-to-Cash
  • reverse ETL tools
  • Census
  • Hightouch
  • data warehousing concepts
  • Snowflake
  • dbt
  • monitoring tools
  • observability tools
  • Datadog
  • PagerDuty
  • FinTech
  • enterprise software
  • mentoring junior engineers
  • managing contractor resources

What the JD emphasized

  • 3–6 years of experience
  • strong technical skills
  • strong focus on backend integrations and data pipelines
  • hands-on experience with enterprise iPaaS platforms
  • strong understanding of when to use iPaaS vs. custom code
  • Proficiency in scripting languages
  • Working knowledge of API standards
  • Experience integrating enterprise SaaS applications
  • Understanding of data modeling, schema mapping, and data transformation
  • Strong debugging and troubleshooting skills
  • Excellent communication skills
  • Ability to thrive in a fast-paced, high-growth environment with shifting priorities