Integration Engineer

Harvey Harvey · AI Frontier · San Francisco, CA · IT

This role focuses on building and maintaining integrations between core enterprise systems (Salesforce, NetSuite, Workday, Marketo, Snowflake) and developing data pipelines to automate business processes. It involves using iPaaS platforms, scripting, and ensuring system reliability. The role is part of the IT team and supports business operations.

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
  • backend integrations
  • data pipelines
  • iPaaS platforms
  • custom code
  • scripting languages
  • Python
  • JavaScript
  • data transformation
  • API scripting
  • automation logic
  • API standards
  • REST
  • SOAP
  • GraphQL
  • authentication protocols
  • OAuth
  • SAML
  • API keys
  • enterprise SaaS applications
  • Salesforce
  • NetSuite
  • Workday
  • Marketo
  • Snowflake
  • data modeling
  • schema mapping
  • 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
  • high-growth SaaS
  • FinTech
  • enterprise software
  • mentoring junior engineers
  • managing contractor resources

What the JD emphasized

  • 3–6 years of experience in Integration Engineering, Business Systems Engineering, or Software Engineering with a strong focus on backend integrations and data pipelines.
  • Hands-on experience with enterprise iPaaS platforms (e.g., Workato, MuleSoft, Boomi, [Tray.io]) and a strong understanding of when to use iPaaS vs. custom code.
  • Proficiency in scripting languages (Python, JavaScript) for data transformation, API scripting, and automation logic.
  • Working knowledge of API standards (REST, SOAP, GraphQL) and authentication protocols (OAuth, SAML, API keys).
  • Experience integrating enterprise SaaS applications, particularly some combination of: Salesforce, NetSuite, Workday, Marketo, or Snowflake.
  • Understanding of data modeling, schema mapping, and data transformation across heterogeneous systems.
  • Strong debugging and troubleshooting skills across complex, multi-system environments.
  • Excellent communication skills and the ability to translate technical concepts for non-technical Finance, Sales, and Operations partners.
  • Ability to thrive in a fast-paced, high-growth environment with shifting priorities.