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# Data Engineer

- **Company:** Booz Allen Hamilton Inc.
- **Location:** United States
- **Salary:** $62,000.0 - $141,000.0
- **Contract:** Permanent contract
- **Skills:** Extract Transform Load (ETL), Data Security, Distributed Systems, Elasticsearch, Python (Programming Language), PostgreSQL, Prometheus, SQL Databases, Data Streaming, Unstructured Data, Workflow Management Systems, Grafana, Kubernetes, Information Technology, Real Time Data, Apache Kafka, Apache Nifi, Data Pipelines
- **Published:** August 11, 2026
- **Apply:** https://www.dice.com/job-detail/b0c092cd-bbcc-4fa0-825b-c7ff0b8b3e64

## About the Role

* Experience with building and maintaining data pipelines
 * Experience with ETL development using NiFi, Python, or Scala
 * Experience with SQL, PostgreSQL, or Kafka
 * Knowledge of AWS services, including RDS and Aurora
 * Ability to work independently and collaboratively in a team environment
 * TS/SCI clearance with a polygraph
 * Bachelor's degree in a Computer Science or Engineering field
 * Ability to obtain Security+ Certification within 6 months of hire

Nice If You Have:

 * Experience with Kafka Connect, Kafka Streams, or other Kafka ecosystem tools
 * Experience with NiFi for data flow automation
 * Experience with Kubernetes, Helm, ArgoCD, or related orchestration tools
 * Experience with monitoring tools2, such as Grafana, Prometheus, or Elasticsearch
 * Experience with real-time data and streaming architectures

## Description

Booz Allen is seeking a Data Engineer to architect, develop, and optimize scalable data pipelines and platforms that transform complex data into actionable insights. In this role, you will lead a team of data engineers to design modern, cloud-native solutions integrating structured and unstructured data across secure environments.

You will serve as a technical and strategic leader, responsible for building and maintaining enterprise data infrastructure that powers analytics, reporting, and mission-critical decision-making. Collaborating with multidisciplinary teams, you will set engineering standards, ensure data quality, and drive innovation, enabling the organization to leverage data as a secure and strategic asset at scale.

This position blends technical expertise with leadership responsibilities to deliver high-quality, reliable, and secure data solutions across cloud and distributed systems.


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