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# Data Engineer, Mid

- **Company:** Booz Allen Hamilton Inc.
- **Location:** McLean, VA, United States
- **Experience:** Experienced
- **Salary:** $62,000.0 - $141,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Big Data, Information Engineering, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, SQL Databases, Unstructured Data, Cloud Platform System, Apache Spark
- **Published:** October 3, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9215070/data-engineer-mid

## About the Role

* Experience with SQL, Java, or Python and Spark
 * Experience in working with highly structured data
 * Ability to manipulate data across different tables
 * Knowledge of different data types and the different sources of data
 * Knowledge of modeling and how to make that data usable for meeting mission requirements
 * TS/SCI clearance with a polygraph
 * Bachelor's degree

Nice If You Have:

 * Experience with advanced data modeling, including entity resolution

## Description

Ever-expanding te chn ology like IoT, machine learning, and artifi cia l intelligence means that there's 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. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.

As a big 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 meaningful.

Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.


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