Data Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Fayetteville, NC
Salary: $61,900–$141,000 / yr
Posted: 9 days ago
Closes: Sep 5, 2026
Nearby: 22 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k

This role $101k

$45k most similar roles pay here $216k

This role pays less than 97% of similar roles. Most pay $126,800–$198,987 — the shaded band above. At the midpoint, this role pays about $101k 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 699 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 688 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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Join our support Data team as a Data Engineer and play a pivotal role in enhancing decision-making, readiness visibility, and reporting across Army missions by building and operating robust data pipelines for structured, semi-structured, and unstructured data. You will clean and prepare raw data, apply transformations like normalization and incremental loads to ensure accuracy and consistency, and implement systems for data-quality checks and lineage capture. Responsibilities include troubleshooting pipeline failures through root-cause analysis, creating incident response runbooks, and optimizing routine operations while adhering to DoD governance practices such as permissions management and audit logging. Utilize Army data tools including Pipeline Builder, Code Repositories, Workshop, Slate, and Machinery to deliver scalable data products that drive mission success. Ideal candidates have 2+ years of experience in data engineering or database management, expertise in developing ETL/ELT workflows, and knowledge of Vantage or Foundry components. Experience with Python, Java, C++, distributed data tools, cloud platforms, Unix/Linux, and data warehousing is a plus.

Skills

Pipeline Builder Code Repositories Workshop Slate Machinery Vantage Foundry Agile Python Java C++ Unix Linux Shell scripting Docker Kubernetes AWS Azure Google Cloud PostgreSQL Snowflake Hadoop Spark CI/CD

What you'll do

Design and operate data pipelines for various data sources.
Clean, transform, and optimize raw data for analytics and reporting.
Implement systems for data-quality checks and lineage capture.
Troubleshoot pipeline failures through root-cause analysis.
Create and maintain incident response runbooks for routine operations.

What we're looking for

2+ years experience in data engineering or database management.
Expertise in developing scalable ETL/ELT workflows for analytics and reporting.
Proficiency with Vantage or Foundry components like Pipeline Builder, Code Repositories, Workshop, Slate, and Machinery.
Knowledge of Agile engineering practices and DoD governance requirements.
Ability to implement data-quality controls, lineage tracking, monitoring workflows, and runbook management.
Secret clearance required.

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