RAG Data Engineer: Ingestion & OpenSearch Architect

Booz Allen Hamilton

Fort Meade (MD)

On-site

USD 62,000 - 141,000

Full time

5 days ago
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Job summary

Booz Allen Hamilton is seeking a RAG Data Engineer in Fort Meade, MD. You will build and operate data ingestion and search infrastructure powering Retrieval-Augmented Generation capabilities, connecting enterprise data with Amazon Bedrock and OpenSearch.

You will own ingestion, embedding, and indexing workflows, including document normalization, chunking, embeddings, metadata enrichment, and reliable upsert/delete operations.

Qualifications

  • Experience developing and maintaining ETL/data ingestion pipelines for structured and unstructured data.
  • Experience implementing document normalization, parsing, chunking, content prep, and embeddings in data pipelines.
  • Experience designing OpenSearch/Elasticsearch indexes, mappings, and shard management for performance.
  • Experience implementing idempotent ingestion, including upsert/delete/replay/failure recovery.
  • Experience with metadata modeling, enrichment, lineage, and version tracking.
  • Experience with Python or other languages for data engineering/automation.
  • Experience with containerized environments (Docker/ECS/EKS/Kubernetes).
  • Ability to collaborate with engineering, security, cloud, and application teams.
  • HS diploma or GED.

Responsibilities

  • Own ingestion, embedding, and indexing workflows connecting data sources with Bedrock and OpenSearch.
  • Design/optimize OpenSearch indexes, mappings, shard configs, and lifecycle policies.
  • Develop scalable, secure data retrieval foundations for enterprise RAG apps.
  • Ensure reliable upsert/delete operations and data lineage tracking.

Skills

ETL pipelines
OpenSearch/Elasticsearch
Python
Containerization (Docker/Kubernetes)
Data ingestion & embedding
IDempotent ingestion
Metadata modeling
Collaboration across teams
Security clearance (TS/SCI)

Education

HS diploma or GED

Tools

OpenSearch
Elasticsearch
Python
Docker
ECS
EKS
Kubernetes

Job description

Booz Allen Hamilton is seeking a RAG Data Engineer in Fort Meade, MD. You will build and operate data ingestion and search infrastructure powering Retrieval-Augmented Generation capabilities, connecting enterprise data with Amazon Bedrock and OpenSearch.

You will own ingestion, embedding, and indexing workflows, including document normalization, chunking, embeddings, metadata enrichment, and reliable upsert/delete operations.

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