Senior Data Engineer, RiverX

Cross River is a financial technology company that builds the infrastructure behind innovative financial products. They are seeking a Senior Data Engineer to develop and maintain their data platform, focusing on AI-powered applications and ensuring data security while collaborating with various teams.

Responsibilities:

• Design, develop, and maintain full-stack software in support of Cross River's data platform
• Build and operate AI-native capabilities: LLM-powered agents and reasoning loops, retrieval-augmented generation (RAG) over the data catalog, and natural-language-to-SQL query experiences
• Integrate large language models responsibly, with rigorous permission checks, tracking, and observability on every model call
• Act as a thoughtful and considerate data steward, with a mind for strong data security
• Engineer React-based web UIs that present complex data (catalogs, lineage, dashboards, and conversational interfaces) clearly and accessibly
• Build and operate Python back-ends that house APIs and integrate with the data platform and adjacent systems
• Interact with AWS services and technologies including Lake Formation, Glue, Iceberg, Hive, Athena, ECS, and Snowflake
• Operate and troubleshoot and issues across the UIs, APIs, agents, and data pipelines
• Collaborate with other software engineers, data engineers, data scientists, and business personnel to ensure business, security, and operational needs are met
• Manage code and versioning effectively using Git and participate in architectural discussions on product- and platform-level designs
• Ensure best practices around development, testing, and documentation

Requirements:

• 5+ years of experience in software engineering, with a strong focus on full-stack web and API development
• Strong front-end skills with React and TypeScript
• Strong back-end / API development skills in Python
• Hands-on experience building with large language models, such as integrating LLM APIs, agents, RAG, or other AI-powered application features
• Proven experience with AWS cloud environments (ECS, IAM, S3, and data services such as Glue, Athena, or Lake Formation)
• Strong experience with relational databases and SQL, plus Git for version control and review processes
• Very strong problem-solving skills and an enthusiasm for delivering working, performant, and operationally stable solutions
• Experience building agentic systems, tool-use / function-calling loops, or MCP (Model Context Protocol) servers and tools
• Experience with retrieval-augmented generation and vector search (e.g. embeddings, pgvector)
• Experience building natural-language-to-SQL or other conversational data interfaces
• Experience in a regulated environment (financial services, healthcare, etc.) with an instinct for data governance
• Experience with data lake / lakehouse technologies (Iceberg, Hive, Glue) and/or Snowflake
• Fluency with AI-assisted development tools in a daily engineering workflow