Data Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Beavercreek, OH
Salary: $99,000–$225,000 / yr
Posted: 2 days ago
Closes: Sep 1, 2026

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k

This role $162k

$84k most similar roles pay here $240k

This role pays more than 59% of similar roles. Most pay $126,800–$199,850 — the shaded band above. At the midpoint, this role pays about $162k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 694 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 682 roles with salary data.

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At a glance

TL;DR · Data Engineer

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As a Data Engineer at our innovative company, you will join a dynamic team focused on leveraging advanced data analytics to solve complex business challenges. Your primary responsibilities include designing and implementing robust data pipelines for exploration, cleaning, and analysis of both structured and unstructured datasets. You will collaborate closely with stakeholders to gather requirements and develop solutions using statistical programming languages such as Python or R. Additionally, you will apply natural language processing techniques and machine learning models to extract valuable insights from text data. With a background in aerospace engineering or simulation modeling being advantageous, this role requires a secret clearance and a strong foundation in data science methodologies.

Skills

Python SQL R Pandas NumPy Scikit-learn Spark Hadoop Docker Kubernetes AWS Azure CI/CD

What you'll do

Design and implement data pipelines for efficient data exploration and analysis.
Clean and preprocess structured and unstructured datasets to improve data quality.
Develop statistical models using programming languages like Python or R for data analysis.
Collaborate with stakeholders to gather requirements and define project scope.
Apply natural language processing techniques to analyze text-based data sources.
Maintain up-to-date knowledge of machine learning algorithms and their applications.

What we're looking for

4+ years of experience with data exploration, cleaning, analysis, visualization, and mining.
Proficient in statistical and general-purpose programming languages for data analysis.
Experience analyzing both structured and unstructured data sources.
Ability to solicit requirements from stakeholders effectively.
Knowledge of natural language processing, text mining, or machine learning techniques.
Hold a valid Secret clearance.

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