Data Engineer II, GenAI
Core
Design, build, and deploy scalable data pipelines and multi-agent AI applications to support enterprise analytics, Artificial Intelligence, and Machine Learning.
Role type
Senior Data Engineer (GenAI & Data Pipelines)
Builds
Cloud-native distributed compute data pipelines, production-grade multi-agent AI applications, and analytics solutions
Domain
Insurance / Data Engineering & Generative AI
Deliverable
production ML models | infrastructure
Required skills
AWS native services, Databricks, Snowflake, dbt, agent orchestration frameworks, tool-calling patterns, MCP, LLM APIs, RAG patterns, vector databases, embedding strategies, modern software engineering practices
Preferred skills
Data governance, data security, data quality, system analysis, defect resolution, team leadership
Technologies
AWS, Databricks, Snowflake, dbt, AWS AgentCore, Databricks AgentBricks, MCP
Responsibilities
Build and operationalize complex data solutions, design scalable data pipelines, integrate structured and unstructured data sources, deploy multi-agent AI applications, test data movement and transformation code, perform data and system analysis for defects
Seniority
Senior, hands-on IC with team leadership
