Data Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Fort Meade, MD
Salary: $77,600–$176,000 / yr
Posted: 5 days ago
Closes: Sep 10, 2026
Nearby: 99+ roles within 25 mi

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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–$198,987 — 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 699 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 688 roles with salary data.

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At a glance

TL;DR · Data Engineer

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Join our dynamic team as a senior data engineer, where you will collaborate with AI model engineers and cloud architects to develop scalable data solutions for mission-critical projects. Your daily tasks include designing and maintaining advanced data pipelines, preparing datasets for AI/ML workloads, and implementing robust data governance practices. You will also develop dashboards for monitoring data quality and automate ETL workflows in hybrid environments. Ideal candidates have over six years of experience in building scalable data systems and a strong background in technologies such as Spark, Databricks, Hadoop, and Kafka, along with expertise in cloud platforms like AWS or Azure. This role demands a deep understanding of security compliance and the ability to optimize data flows across various operational environments.

Skills

AWS Azure Spark Databricks Hadoop Hive Kafka CI/CD ETL Data Governance Dashboards Metrics Maintenance Optimization Security Compliance Visualization Tools Real-time Data Applications Streaming Data Applications

What you'll do

Design and implement scalable data pipelines for structured and unstructured data.
Prepare validated, normalized datasets for AI/ML model development securely.
Develop automated ETL workflows and CI/CD pipelines for efficient data processes.
Optimize data workflows across on-premises, cloud, or hybrid environments.
Implement data governance practices including access control and lineage tracking.

What we're looking for

6+ years of experience as a data engineer.
Expertise in designing, implementing, and maintaining scalable data pipelines for various data types.
Experience preparing secure datasets for AI/ML model development.
Knowledge of data governance practices including access control and lineage tracking.
Ability to develop dashboards and metrics for monitoring data and pipeline performance.
Skills in building automated ETL workflows and CI/CD pipelines for data processes.
Experience optimizing data workflows across on-prem, cloud, or hybrid environments.

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