Data Engineer
Core
Design and build modern data and AI solutions, including LLM, RAG, and AI Agent use cases, to power enterprise business capabilities.
Role type
Senior Data Engineer (AI/ML focus)
Builds
Enterprise data pipelines, AI-driven business solutions, and platform modernization initiatives
Domain
Enterprise technology, Generative AI, Cloud infrastructure
Deliverable
production ML models | product features
Required skills
Snowflake, dbt, advanced SQL, Python, LLMs, Generative AI, RAG, AI Agents, Control-M, API integrations, cloud platforms (AWS/Azure/GCP)
Preferred skills
Agentic AI, LangChain, LangGraph, Semantic Kernel, vector databases, data governance frameworks, Responsible AI, model evaluation
Technologies
Snowflake, dbt, Control-M, AWS, Azure, Google Cloud, LangChain, LangGraph, Semantic Kernel, Spark
Responsibilities
Build and optimize Snowflake and dbt data pipelines; Design and integrate enterprise data engineering and AI solutions; Develop and manage complex system integrations and Control-M workflows; Partner with architects and stakeholders to deliver secure, scalable solutions; Contribute to platform modernization and AI innovation
Seniority
Senior, hands-on IC