Data Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Arlington, VA
Salary: $62,000–$141,000 / yr
Posted: 3 days ago
Closes: Sep 14, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k

This role $102k

$45k most similar roles pay here $217k

This role pays less than 94% of similar roles. Most pay $126,800–$199,800 — the shaded band above. At the midpoint, this role pays about $102k 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 711 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 702 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 focused on solving complex business challenges through advanced data solutions. Your primary responsibilities include designing and developing robust data applications at enterprise scale using Databricks, Delta Lake, Spark, and other cutting-edge technologies. You will also maintain and optimize these systems to ensure high performance and reliability, leveraging GitLab for version control and CI/CD pipelines. Ideal candidates have a strong background in data engineering with 5+ years of professional experience, including at least 3 years working on complex data applications. A secret clearance is required, along with a Bachelor’s degree, and proficiency in Python or Scala will be highly beneficial.

Skills

Databricks Delta Lake Spark GitLab CI/CD PostgreSQL AWS Kubernetes Python

What you'll do

Design, develop, operationalize, and maintain complex data applications at enterprise scale.
Utilize Databricks for Delta Lake, Spark, notebooks, and workflows or jobs.
Employ GitLab for version control, CI/CD pipelines, and code review processes.
Ensure all data solutions comply with security protocols requiring secret clearance.
Collaborate on continuous improvement of data engineering practices and tools.

What we're looking for

5+ years of professional experience in data engineering.
3+ years of designing and maintaining complex enterprise-scale data applications.
Proficiency with Databricks tools including Delta Lake, Spark, notebooks, and workflows.
Experience using GitLab for version control, CI/CD pipelines, and code reviews.
Active Secret clearance required.
Bachelor’s degree in a related field.

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