Data Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Arlington, VA
Salary: $62,000–$141,000 / yr
Posted: 2 days ago
Closes: Sep 22, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $162k

This role $102k

$45k most similar roles pay here $216k

This role pays less than 91% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $102k versus about $162k 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 760 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 748 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Engineer

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As a Data Engineer at our company, you will join a dynamic team dedicated to solving complex data challenges for clients across various sectors. Your role involves developing scalable ETL/ELT workflows and managing large datasets using tools like Databricks and AWS EMR. You will build robust data pipelines supporting enterprise-level analytics, reporting, and machine learning projects while ensuring data quality and security. Ideal candidates have 2+ years of experience with Python, SQL, R, and a background in handling structured and unstructured data. Familiarity with distributed computing tools such as Spark and Kafka is beneficial, along with the ability to contribute to data modeling and feature engineering for advanced analytics. Secret clearance is required, while TS/SCI clearance is preferred.

Skills

Python SQL R Databricks Spark Hadoop Hive AWS EMR Kafka CI/CD

What you'll do

Develop scalable ETL or ELT workflows for reporting and analytics.
Manage and organize large datasets to ensure data quality, security, and governance.
Create and manage data pipelines supporting enterprise-level analytics and machine learning projects.
Utilize programming languages like Python, SQL, and R in data engineering tasks.
Support exploratory data analysis on large datasets to uncover actionable insights.
Contribute to data modeling and feature engineering for advanced analytics.

What we're looking for

2+ years of experience in Python, SQL, R for data manipulation.
Developed scalable ETL/ELT workflows for analytics and reporting.
Managed large datasets with Databricks, ensuring quality, security, governance.
Created and maintained enterprise-level data pipelines for advanced projects.
Held Secret clearance.

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