RAG Data Engineer - Ingestion, Embeddings & OpenSearch

Booz Allen Hamilton; Maryland; Hybrid; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton is seeking a RAG Data Engineer to build and operate ingestion and search pipelines powering enterprise RAG capabilities. You will design embedding workflows, manage indexing and metadata, and ensure reliable upsert/delete operations across OpenSearch and Bedrock integrations.

Join a collaborative team of cloud, security, and AI/ML professionals to create scalable, secure data retrieval foundations for enterprise AI applications.

Qualifications

• Experience building ETL/data ingestion pipelines for structured and unstructured data.
• Document normalization, parsing, chunking, and embedding generation.
• Designing OpenSearch/Elasticsearch indexes, schemas, and mappings.
• Idempotent ingestion with upsert/delete/replay functionality.
• Metadata modeling, enrichment, lineage, and version tracking.
• Python for data engineering and automation.
• Containerized deployments with Docker/Kubernetes.
• Security clearance: TS/SCI and HS diploma or GED.

Skills

ETL pipelines

Normalization

Parsing

Chunking

Embeddings

Metadata enrichment

Python

Containerization

OpenSearch

Collaboration

TS/SCI clearance

Education

HS diploma or GED

Tools

OpenSearch/Elasticsearch

Docker

ECS/EKS/Kubernetes

Terraform

CloudFormation

AWS CDK

Spark

Kafka

SQS

Job description

Booz Allen Hamilton is seeking a RAG Data Engineer to build and operate ingestion and search pipelines powering enterprise RAG capabilities. You will design embedding workflows, manage indexing and metadata, and ensure reliable upsert/delete operations across OpenSearch and Bedrock integrations.

Join a collaborative team of cloud, security, and AI/ML professionals to create scalable, secure data retrieval foundations for enterprise AI applications.