Senior Data Engineer
Core
Design, build, and deploy cloud-native AI capabilities and agentic AI systems for federal missions, focusing on data integrations for Generative AI and LLM usage.
Role type
Senior IC AI Data Engineer
Builds
Data pipelines, data lakes/warehouses, and operational agentic AI systems
Domain
Federal government / Generative AI & Data Engineering
Deliverable
production ML models
Required skills
ETL/ELT, SQL/NoSQL, Vector databases, Generative AI/LLMs, Agentic AI frameworks, Cloud platforms (AWS/Azure/GCP), CI/CD, IaC
Preferred skills
Python (Pyspark, LangChain, CrewAI), Terraform/CloudFormation, Agentic frameworks (Agent2Agent, Mastra), Federal cybersecurity frameworks
Technologies
AWS, Azure, GCP, OpenSearch, Kafka, Bedrock, Glue, DataBricks, Snowflake, FAISS, PGVector, Pinecone, Hugging Face, LangGraph, CrewAI, Terraform, GitLab, GitHub, Jenkins, VS Code
Responsibilities
Build and optimize data pipelines for Generative AI; Manage data lake and warehouse architectures; Model and query large-scale datasets; Collaborate on operational agentic AI systems; Automate model deployment workflows; Monitor and tune AI systems post-deployment; Write clean, documented code following federal guidelines
Seniority
Senior, hands-on IC
