Remote RAG Data Engineer - Ingest & Search Architect

Booz Allen Hamilton; Annapolis (MD); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton is seeking a RAG Data Engineer in Annapolis, MD to build and operate data ingestion and search infrastructure powering retrieval-augmented generation. You will design pipelines, embedding workflows, and OpenSearch indexing to deliver retrieval-ready assets for AI applications.

Collaborate with cloud, security, and AI/ML teams to ensure scalable, secure data retrieval foundations and compliant processing. TS/SCI clearance is required.

Qualifications

• Experience developing ETL or data ingestion pipelines for structured and unstructured data.
• Experience implementing document normalization, parsing, chunking, and content preparation workflows, and generating embeddings and integrating embedding workflows into data processing pipelines.
• Experience designing and maintaining OpenSearch or Elasticsearch indexes, schemas, mappings, and aliases, and optimizing search performance, including query tuning, indexing efficiency, and shard management.
• Experience implementing idempotent ingestion processes, including upsert, delete, replay, and failure recovery.
• Experience with metadata modeling, enrichment, lineage, and version tracking.
• Experience with Python or programming languages for data engineering and automation.
• Experience with containerized applications or deployment environments such as Docker, ECS, EKS, or Kubernetes.
• Ability to collaborate with engineering, security, cloud, and application development teams.
• TS/SCI clearance
• HS diploma or GED

Responsibilities

• Own the ingestion, embedding, and indexing workflows that connect enterprise data sources with Amazon Bedrock and OpenSearch.
• Design and optimize OpenSearch indexes, mappings, shard configurations, lifecycle policies, and query performance.
• Collaborate with cloud architects, security engineers, application developers, and AI/ML specialists to establish a scalable, secure data retrieval foundation.
• Support development and deployment of enterprise RAG applications.

Skills

ETL pipelines

Document normalization

OpenSearch/Elasticsearch

Idempotent ingestion

Metadata modeling

Python scripting

Containerized deployments

Cross-team collaboration

TS/SCI clearance

HS diploma or GED

Education

HS diploma or GED

Tools

Docker

ECS

EKS

Kubernetes

Job description

Booz Allen Hamilton is seeking a RAG Data Engineer in Annapolis, MD to build and operate data ingestion and search infrastructure powering retrieval-augmented generation. You will design pipelines, embedding workflows, and OpenSearch indexing to deliver retrieval-ready assets for AI applications.

Collaborate with cloud, security, and AI/ML teams to ensure scalable, secure data retrieval foundations and compliant processing. TS/SCI clearance is required.