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# Data Engineer

- **Company:** Booz Allen Hamilton Holding Corporation
- **Location:** Aurora, CO, United States
- **Experience:** Experienced
- **Salary:** $62,000.0 - $141,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Cloud Computing, Databases, Extract Transform Load (ETL), Python (Programming Language), PostgreSQL, Ansible, SQL Databases, Containerization, Real Time Data, Apache Kafka, Machine Learning Operations, Data Pipelines
- **Published:** August 11, 2026
- **Apply:** https://bah.wd1.myworkdayjobs.com/BAH_Jobs/job/Chantilly-VA/Data-Engineer_R0246480

## About the Role

* 3+ years of experience with data pipelines, including data acquisition, data prep, and database architecture
 * 3+ years of experience in ETL development using Java, Python, SQL, or Scala
 * 2+ years of experience with PostgreSQL or Kafka
 * Experience with AWS services
 * Experience with designing and implementing, containerizing, and deploying end-to-end automated data and ML pipelines, within a Cloud environment
 * Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem
 * Top Secret clearance
 * Bachelor's degree

Nice If You Have:

 * Experience with Kafka ecosystem tools, such as Kafka Connect and Kafka Streams
 * Experience with NiFi
 * Experience with infrastructure-as-code tools, such as Terraform or Ansible
 * Experience with Agile development methodologies
 * Experience working on real-time data and streaming applications
 * Ability to pay strict attention to detail
 * Possession of excellent problem-solving and analytical skills

## Description

Ever-expanding technology and collection methodologies means that there is more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered from disparate sources.

As a Data Engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data available and meaningful.

Here, you'll work with a multi-disciplinary team of data engineers, developers, and data consumers in a fast-paced, agile environment.


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