Quick Summary
3–6 years of experience in Integration E
At Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.
At Harvey, the future of professional services is being written today — and we’re just getting started.
Harvey's Enterprise Integrations team sits within IT and is responsible for connecting and automating Harvey's core corporate systems — Salesforce, NetSuite, Workday, Marketo, and our data warehouse — to power critical business processes as the company scales. As an Integration Engineer, you will design, develop, and maintain the integrations and data pipelines that keep these systems in sync and drive automation across Lead-to-Cash, Order Management, Employee Lifecycle, and other enterprise workflows. You will report to the Manager of Enterprise Integrations and work closely with the Lead Integration Engineer, Business Systems, IT, and Ops teams.
This is a hands-on building role. Harvey is moving beyond point-to-point automations toward a robust, scalable enterprise integration platform, and you will be a key contributor to that evolution. The ideal candidate combines strong technical skills in iPaaS platforms and scripting with the ability to understand complex business processes and collaborate effectively with non-technical partners across the organization.
Responsibilities
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Build and maintain integrations between Harvey's core enterprise systems (Salesforce, NetSuite, Workday, Marketo, Snowflake) using iPaaS platforms and custom code.
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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.
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Implement and maintain reverse ETL pipelines that sync data from the warehouse back to GTM, Finance, and operational teams where they work.
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Design and build custom application workflows that automate business processes such as order management, employee onboarding, and marketing operations.
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Establish and enforce integration standards including error handling, logging, monitoring, alerting, and retry logic to maintain 99.9% reliability of business-critical data flows.
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Partner cross-functionally with Finance Systems, GTM Systems, Revenue Operations, and People Ops to translate complex business requirements into scalable technical solutions.
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Write and maintain integration documentation, including data flow diagrams, API specifications, runbooks, and troubleshooting guides.
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Investigate and resolve integration failures in production, performing root cause analysis and implementing preventive measures.
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Contribute to the team's shared tooling, frameworks, and best practices as the integration platform matures.
Requirements
~1 min read3–6 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.
Experience with Salesforce CPQ and the Lead-to-Cash or Quote-to-Cash lifecycle.
Background in reverse ETL tools and concepts (e.g., Census, Hightouch, or custom pipelines).
Familiarity with data warehousing concepts and tools (Snowflake, dbt).
Experience with monitoring and observability tools for integration health (Datadog, PagerDuty, or similar).
Background in a high-growth SaaS, FinTech, or enterprise software environment.
Experience mentoring junior engineers or managing contractor resources.
What We Offer
~1 min read$133,500-$200,300 USD
#LI-RB1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location & Eligibility
Listing Details
- Posted
- May 18, 2026
- First seen
- May 19, 2026
- Last seen
- May 19, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 54%
- Scored at
- May 19, 2026
Signal breakdown
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