Data Engineer

Booz Allen Hamilton

Quick summary

Work type
On-site
Location
Arlington, VA
Salary
$62,000–$141,000 / yr
Posted
4 days ago
Closes
Sep 22, 2026

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

As a Data Engineer at our company, you will join a dynamic team focused on developing and maintaining complex data applications at enterprise scale. Your primary responsibilities include designing, building, and operationalizing scalable ETL or ELT workflows for reporting and analytics purposes. You will work extensively with Databricks, leveraging Delta Lake, Spark, notebooks, and workflows to ensure efficient data processing and analysis. Additionally, you will utilize GitLab for version control, CI/CD pipelines, and code review processes to maintain high-quality software development practices. This role requires a strong background in data engineering, with at least 5 years of professional experience and the ability to handle sensitive information through secret clearance.

What you'll do

  • Design and develop complex data applications at enterprise scale.
  • Build scalable ETL or ELT workflows for reporting and analytics purposes.
  • Utilize Databricks, Delta Lake, Spark, notebooks, and workflows effectively.
  • Implement version control, CI/CD pipelines, and code review using GitLab.
  • Maintain and operationalize data systems to ensure reliability and efficiency.

What we're looking for

  • 5+ years of professional experience in data engineering.
  • 3+ years of designing and maintaining complex enterprise-scale data applications.
  • Expertise in building scalable ETL/ELT workflows for analytics.
  • Proficiency with Databricks, Delta Lake, Spark, GitLab, CI/CD pipelines.
  • Active Secret clearance required.
  • Bachelor’s degree or equivalent experience.

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