Data Analytics Platform Engineer

Booz Allen Hamilton

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Arlington, VA
Salary
$77,600–$176,000 / yr
Posted
79 days ago
Freshness
Confirmed live yesterday
Closes
Sep 22, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k
This role $127k
$61k most similar roles pay here $230k

This role pays less than 81% of similar roles. Most pay $145,487–$214,000 — the shaded band above. At the midpoint, this role pays about $127k versus about $180k 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 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Analytics Platform Engineer

As a Data Analytics Platform Engineer, you will join a multi-disciplinary team of analysts, engineers, and developers in an agile environment to build advanced technology solutions for mission-driven projects. You will be responsible for the assessment, design, construction, and maintenance of scalable platforms while developing pipelines that organize disparate data into meaningful insights. Your daily work involves managing data lake architectures and designing pipeline architectures for security operations, including log collection, normalization, enrichment, and routing. The role requires expertise in defense cyber operations, threat hunting workflows, and automated response capabilities across cloud, on-premises, and disconnected environments. You will utilize tools such as Cribl, Kafka, Logstash, Fluentd, and Python to solve complex problems in fraud detection, cancer research, and national intelligence while adhering to Zero Trust principles and federal compliance standards.

What you'll do

  • Design and build data pipeline architectures for security operations including log collection, normalization, and routing.
  • Develop and deploy scalable platforms across cloud, on-premises, and disconnected environments.
  • Architect detection engineering pipelines, threat hunting workflows, and automated response capabilities.
  • Manage the assessment, design, building, and maintenance of analytics platforms for clients.
  • Organize and process disparate data sources to create meaningful insights for mission-critical projects.
  • Implement data engineering activities within federal compliance standards and Zero Trust principles.
  • Automate security tasks using Python or other scripting languages.

What we're looking for

  • Must have at least 3 years of experience with data lake or analytics platforms.
  • Must have at least 1 year of experience designing data pipeline architectures for security operations.
  • Must have at least 1 year of experience with defensive cyber operations, cybersecurity engineering, or security platform architecture.
  • Experience architecting detection engineering pipelines, threat hunting workflows, or automated response capabilities is required.
  • Experience deploying platforms across cloud, on-premises, and disconnected environments is required.
  • Knowledge of Zero Trust principles, DoD/IC Cybersecurity frameworks, or federal compliance standards is required.
  • Must possess an active TS/SCI clearance.
  • High school diploma or GED is required.

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