Data Engineer

Booz Allen Hamilton

Quick summary

Work type
On-site
Location
Arlington, VAAlexandria, VA
Salary
$62,000–$141,000 / yr
Posted
6 days ago
Closes
Sep 7, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k
This role $102k
$45k most similar roles pay here $216k

This role pays less than 94% of similar roles. Most pay $126,800–$199,612 — 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 704 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 693 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Engineer

Join our dynamic Advana team as a Data Engineer and help solve the government’s most challenging data puzzles. You will design, develop, and maintain end-to-end data pipelines using ETL processes, Databricks, Python, Spark, Scala, JavaScript, JSON, SQL, and Jupyter Notebooks to ensure efficient data processing and analysis for federal agencies. Your responsibilities include creating scalable and reliable data systems, performing data cleansing and integration, troubleshooting complex issues, implementing data governance policies, and collaborating with cross-functional teams to deliver accurate insights. With a focus on large datasets and big data technologies like Spark and Databricks, you will work closely with data scientists and stakeholders to support decision-making processes while maintaining documentation and staying updated with the latest trends in data engineering. Ideal candidates have 3+ years of experience in Data Engineering or related fields, knowledge of distributed computing tools, and a Secret clearance.

What you'll do

  • Design, develop, and implement end-to-end data pipelines using ETL processes.
  • Create and optimize scalable data pipelines to ensure high-performance processing.
  • Perform data cleansing and integration activities for large datasets.
  • Troubleshoot complex data-related issues and provide innovative solutions.
  • Implement and enforce data governance policies to comply with regulations.

What we're looking for

  • 3+ years of experience in Data Engineering, Data Science, Analytics, Software Engineering, or DevOps.
  • Expertise in ETL processes and big data technologies like Databricks, Spark, Scala, Python, SQL.
  • Experience with distributed computing tools such as Hadoop, Hive, AWS EMR, Kafka, Jupyter Notebooks.
  • Strong knowledge of data modeling, database design principles, and data governance practices.
  • Proficiency in programming languages including C++, JavaScript, JSON, SQL, and Python.
  • Active Secret clearance required.
  • Bachelor’s degree or equivalent experience.

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