Integration Engineer

What You'll Do

• 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, billing, and reporting workflows.
• Partner with People Ops and IT stakeholders on employee lifecycle and identity-adjacent workflows where enterprise systems need accurate, automated data movement.
• Document integration designs, dependencies, runbooks, and operational procedures so the team can scale beyond heroics and single-owner knowledge.
• Support integration platform standards for API usage, data modeling, monitoring, and production readiness under the guidance of the Lead Integration Engineer or hiring manager.

What You Have

• 3–5+ years of experience in integration engineering, software engineering, business systems engineering, or a related backend systems role.
• Hands-on experience working within an iPaaS platform (e.g. Workato) to build or maintain 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 to handle transformations, validation, orchestration, or automation logic.
• Strong troubleshooting instincts and systematic approach to 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 where requirements may be ambiguous, priorities may shift, and systems may still be maturing.
• Bias toward pragmatic execution, but care about building repeatable patterns, documentation, and operational safeguards.

Bonus Points

• 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.