Integration Engineer

Stack

Responsibilities

• ▹Build and maintain integrations between core enterprise systems including Salesforce, CPQ, NetSuite, Workday, Marketo, Snowflake, and related business applications
• ▹Develop data pipelines, workflow automations, and reverse ETL-style syncs that help GTM, Finance, People Ops, and other teams operate from trusted data
• ▹Translate business requirements into integration designs, data mappings, and implementation plans that are scalable, observable, and maintainable
• ▹Troubleshoot data sync issues, schema mismatches, API failures, and workflow exceptions across multiple systems
• ▹Implement strong error handling, logging, alerting, validation, rollback, and documentation practices for business-critical workflows
• ▹Partner with Finance Systems and GTM Systems stakeholders on Lead-to-Cash, Quote-to-Cash, order management, and billing workflows
• ▹Partner with People Ops and IT stakeholders on employee lifecycle and identity-adjacent workflows
• ▹Document integration designs, dependencies, runbooks, and operational procedures so the team can scale beyond single-owner knowledge
• ▹Support integration platform standards for API usage, data modeling, monitoring, and production readiness under the guidance of the Lead Integration Engineer

Requirements

• ▹3-5+ years of experience in integration engineering, software engineering, business systems engineering, or a related backend systems role
• ▹Hands-on experience within an iPaaS platform (e.g. Workato) building or maintaining integrations across enterprise SaaS systems, ideally including Salesforce, NetSuite, Workday, Ashby, Marketo, Snowflake, or comparable platforms
• ▹Understanding of modern API patterns and authentication concepts, including REST, SOAP, GraphQL, OAuth, SAML, SCIM, and related integration standards
• ▹Ability to write scripts in Python, JavaScript, or a similar language for transformations, validation, orchestration, or automation logic
• ▹Strong troubleshooting instincts, working systematically through logs, data mismatches, failed syncs, and edge cases
• ▹Ability to communicate tradeoffs to non-technical stakeholders and push back when a requested solution would create fragility, governance issues, or unnecessary tech debt
• ▹Comfort operating in a fast-moving environment with ambiguous requirements, shifting priorities, and maturing systems
• ▹A bias toward pragmatic execution combined with care for repeatable patterns, documentation, and operational safeguards

Nice to have

• ▹Experience with reverse ETL concepts and data warehousing workflows
• ▹Familiarity with Lead-to-Cash, Quote-to-Cash, CPQ, order management, billing, revenue recognition, or ERP workflows
• ▹Experience in high-growth B2B SaaS, legal tech, enterprise AI, or other environments with complex cross-functional systems
• ▹Exposure to identity lifecycle, provisioning, or access-related integrations

Soft skills

About the company

Harvey combines frontier agentic AI, an enterprise-grade platform, and deep domain expertise to transform how legal and professional services operate. The company serves 2400+ customers in 70+ countries, with strong product-market fit and world-class investor support, and is scaling fast.