Data Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Belcamp, MDAberdeen Proving Ground, MD
Salary: $77,600–$176,000 / yr
Posted: 6 days ago
Closes: Sep 7, 2026
Nearby: 33 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k

This role $127k

$63k most similar roles pay here $215k

This role pays less than 65% of similar roles. Most pay $126,800–$199,850 — 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 704 open roles on FindRole.

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

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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 dedicated to solving complex business problems through advanced data solutions. Your primary responsibilities include designing and developing scalable ETL/ELT workflows for reporting and analytics, creating software to retrieve, parse, and process structured and unstructured data, and maintaining complex data applications at enterprise scale. You will work with PySpark and Spark SQL to build and modify data transformations in Palantir Foundry Data Pipeline Builder and Code Repositories, as well as debug issues within the Foundry platform. Additionally, you should have experience with UNIX/Linux, Shell scripting, and distributed computing tools like Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka to effectively contribute to our mission of transforming raw data into actionable insights for enterprise clients.

Skills

PySpark Spark SQL Foundry Ontology Palantir Foundry Data Pipeline Builder Palantir Foundry Workshop Python SQL Scala Java UNIX/Linux Shell scripting Apache Spark Databricks Hadoop Hive AWS EMR Kafka CI/CD

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 expertise in creating ETL/ELT workflows for reporting and analytics using PySpark and Spark SQL.
Proficient in Palantir Foundry, including building and modifying data transformations and troubleshooting issues.
Experience with Foundry Ontology, Workshop, and Data Pipeline Builder to create and maintain Object Types, Link Types, and Action Types.
Bachelor’s degree and active Secret clearance required.
Familiarity with Python, SQL, Scala, or Java, UNIX/Linux, and distributed computing tools like Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.

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