Senior Data Engineer
Summary
Senior/Lead Data Engineer owning an AWS-native data platform that powers underwriting intelligence, GenAI insights, and large-scale content processing. Day to day spans the full data lifecycle—ingestion, transformation, storage, retrieval, and AI consumption—using Python pipelines, .NET services, Aurora PostgreSQL, OpenSearch, and LangGraph agentic workflows.
We are looking for an experienced Lead Data Engineer to lead the architecture, evolution, and delivery of our modern AWS-native data platform. This platform powers underwriting intelligence, GenAI-driven insights, and large-scale content processing, serving as the foundation for data products across the organization.
You will own the full data lifecycle—from ingestion and transformation to storage, retrieval, and AI consumption—working across Python-based processing pipelines, .NET services, Aurora PostgreSQL, OpenSearch, and LangGraph-powered agentic workflows.
This is a senior individual contributor role with significant technical leadership responsibilities. You will define engineering standards, drive architectural decisions, mentor engineers, and collaborate closely with product, platform, and AI teams to build reliable, scalable, and high-performing data systems.