Data Engineer

Booz Allen Hamilton

Quick summary

Work type
On-site
Location
Belcamp, MDAberdeen Proving Ground, MD
Salary
$77,600–$176,000 / yr
Posted
2 days ago
Closes
Sep 12, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $127k
$63k most similar roles pay here $214k

This role pays less than 65% of similar roles. Most pay $126,800–$199,050 — the shaded band above. At the midpoint, this role pays about $127k 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 701 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 691 roles with salary data.

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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 dedicated to solving complex business challenges through advanced data solutions. Your primary responsibilities include designing and implementing scalable ETL/ELT workflows for reporting and analytics, as well as creating and maintaining data models in Palantir Foundry’s Ontology. You will work with PySpark and Spark SQL to build robust data pipelines, ensuring high-quality data processing and transformation. Additionally, you will troubleshoot issues within the Foundry platform, read logs, and debug problems efficiently. This role requires expertise in Python, SQL, Scala, or Java, along with experience in UNIX/Linux environments and distributed computing tools like Spark, Databricks, Hadoop, Hive, AWS EMR, and Kafka. The position involves working on large-scale enterprise data applications that drive critical business insights and decisions.

What you'll do

  • Design and develop complex data applications at enterprise scale.
  • Create software for retrieving, parsing, and processing structured and unstructured data.
  • Build scalable ETL/ELT workflows for reporting and analytics purposes.
  • Develop and maintain Object Types, Link Types, and Action Types in Foundry Ontology.
  • Troubleshoot issues by reading logs and diagnosing errors in Palantir Foundry.

What we're looking for

  • 5+ years of experience in developing and maintaining complex data applications at enterprise scale.
  • 3+ years of experience in creating ETL/ELT workflows for reporting and analytics.
  • Proficiency in PySpark, Spark SQL, and Palantir Foundry tools including Data Pipeline Builder.
  • Ability to create, maintain, and debug Object Types, Link Types, and Action Types in Foundry Ontology.
  • Bachelor’s degree and active Secret clearance required.
  • Experience with UNIX/Linux, Shell scripting, and distributed data/computing tools preferred.

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