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We are seeking a Data Engineer to own the data layer of a growing AI-powered platform focused on automating document processing and ERP integrations. This is a hands-on engineering role centered on building reliable, scalable data pipelines and integration systems that move data between AI workflows and customer ERP environments. You will play a critical role in enabling real-time validation and submission of customer data by connecting document intelligence outputs to ERP systems through robust, production-grade integrations.
Job Responsibility:
Design, build, and maintain ETL processes, data pipelines, and API integrations that ensure data is accurate, consistent, and available across multiple customer environments
Build data sync pipeline for a live customer: crawl ERP products, customers, and pricing data into our validation layer
Build ERP connector with REST API integration — auth, retries, timeouts, error handling
Build durable workflow: validate extracted order data against ERP reference data, submit on approval
Implement data quality checks and monitoring for the sync pipeline