Data Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Alexandria, VAArlington, VAMcLean, VA
Salary: $77,600–$176,000 / yr
Posted: 7 days ago
Closes: Sep 7, 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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As a senior data engineer joining our dynamic team, you will play a crucial role in helping clients extract meaningful insights from complex datasets to drive mission-critical decisions across various sectors. Your daily responsibilities include designing and implementing scalable data warehouses and lakes, building robust RESTful APIs, and developing efficient event processing systems. You will also automate large-scale batch and streaming workflows, optimize cloud storage performance, and ensure compliance with federal data security policies such as NIST 800.53 and FISMA. Proficiency in SQL, Python, Scala, Spark, Java, and experience with AWS EMR, Azure Data Factory, and Databricks is essential for this role, which operates at the intersection of cutting-edge cloud technologies and critical government data management challenges.

Skills

SQL Python Scala Spark Java AWS EMR AWS Glue Azure Data Factory Power Apps Apache Spark Apache NiFi AirFlow Databricks Snowflake Redshift BigQuery NIST 800.53 FISMA CI/CD

What you'll do

Design and implement scalable data warehouses and lakes for enterprise systems.
Build and automate large-scale batch and streaming data workflows using cloud technologies.
Optimize cloud storage and pipeline performance in data lake architectures.
Develop RESTful APIs, event processing models, and business intelligence solutions.
Manage data governance policies, cataloging, usage, and lifecycle management.

What we're looking for

5+ years of experience designing data warehouses, lakes, RESTful APIs, event processing, and business intelligence.
5+ years building scalable data pipelines, automating large-scale workflows, and parsing various data types.
Proficient in SQL, Python, Scala, Spark, or Java for coding complex software systems.
Experience tuning cloud storage and pipeline performance in data lake architecture.
Expertise in designing, developing, operationalizing, and maintaining data systems.
TS/SCI clearance required.
Bachelor’s degree in a relevant field.

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