Integration Engineer

About the Role

LakeFusion is seeking an Integration Engineer to build and maintain third-party data integrations for our Master Data Management platform, built natively on the Databricks Data Intelligence Platform. In this role, you will own the end-to-end development of integrations with enterprise data providers such as Dun & Bradstreet, ZoomInfo, and Smarty, delivering reliable connectors that enrich customer data at scale.

This is a hybrid role spanning full-stack development and data engineering. You will build Spark Structured Streaming pipelines to ingest and process third-party data, develop the backend services and APIs that orchestrate these integrations, and create the frontend configuration experiences that let customers set them up. Most integrations follow a standard architectural pattern — your job is to execute that pattern consistently, reliably, and at a steady cadence while adapting to the quirks of each provider.

Success in this role depends heavily on communication and partnership. You will work directly with third-party vendors to understand their APIs, authentication models, data schemas, rate limits, and delivery mechanisms, then translate those requirements into working integrations. You'll also collaborate closely with Product, Platform, and Delivery teams to ensure each integration meets customer needs.

This role suits someone who enjoys shipping well-scoped, repeatable work end-to-end, takes ownership of external…

Skills

• Python
• FastAPI
• Node.js
• React.js
• Apache Spark