Senior Python Data Engineer (OCR & Document Processing)- remote

Mission

Design, build, and optimize scalable data ingestion and document processing solutions that transform large volumes of unstructured insurance data into structured, AI-ready information. Enable downstream AI and retrieval systems by leveraging OCR, document intelligence, vector databases, and cloud-native data pipelines.

Responsibilities:

• Design and implement scalable data ingestion pipelines for processing high volumes of unstructured documents, including PDFs, scans, emails, and Office files.
• Integrate, configure, and optimize OCR and document extraction technologies to maximize text extraction accuracy and document understanding.
• Build automated workflows for document parsing, text cleaning, normalization, semantic chunking, and metadata enrichment.
• Develop connectors and integrations for document sources such as SharePoint, email systems, and enterprise repositories.
• Design and maintain vector database schemas and retrieval mechanisms to support Retrieval-Augmented Generation (RAG) solutions and AI applications.
• Ensure document processing pipelines meet enterprise security, compliance, performance, and availability requirements.
• Implement monitoring, validation, and quality-control mechanisms to identify and manage low-confidence OCR and extraction results.
• Optimize data processing workflows for scalability, reliability, and low-latency operations.
• Collaborate with AI Engineers, Backend Engineers, and Platform teams to deliver end-to-end AI-powered document processing solutions.
• Develop and maintain cloud-native data ingestion solutions on public cloud platforms.