Data Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: McLean, VAWashington, DC
Salary: $77,600–$176,000 / yr
Posted: 5 days ago
Closes: Sep 21, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $162k

This role $127k

$63k most similar roles pay here $214k

This role pays less than 68% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $127k 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 mid-level Data Engineer joining our dynamic team, you will play a crucial role in building scalable ETL and ELT workflows for reporting and analytics. Your day-to-day responsibilities include developing scripts and programs to convert various data types into usable formats, collaborating with cross-functional teams to scale and monitor data platforms, and utilizing version control tools like GitLab or GitHub. You should be proficient in Python, SQL, Scala, or Java, and have experience working within a collaborative environment. Familiarity with Databricks is a plus, as well as a TS/SCI clearance and a high school diploma or GED. This role involves tackling complex data challenges to support our mission-critical operations at scale.

Skills

Python SQL Scala Java ETL ELT GitLab GitHub Bitbucket Databricks CI/CD

What you'll do

Develop and maintain scalable ETL/ELT workflows for reporting and analytics.
Create data solutions within a collaborative cross-functional team environment.
Use version control tools like GitLab, GitHub, or Bitbucket effectively.
Convert various types of raw data into usable formats through scripting.
Support project teams in scaling, monitoring, and operating data platforms.
Possess TS/SCI clearance for security compliance.

What we're looking for

Experience with Python, SQL, Scala, or Java for data engineering.
Proficient in building scalable ETL and ELT workflows for analytics.
Collaborative team player with experience using version control tools.
Ability to develop scripts for converting data into usable formats.
TS/SCI clearance required.
HS diploma or GED necessary.

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