This role pays less than
52%
of similar roles. Most pay
$142,850–$202,911
— the shaded band above.
At the midpoint, this role pays about
$162k
versus about
$173k
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
799 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 780 roles with salary data.
As a Data Engineer, Senior, you will join a team dedicated to transforming complex structured and unstructured data into actionable information to solve global challenges in areas like fraud detection and national intelligence. You will lead the development of algorithms and systems while collaborating with clients to identify key information within data-rich environments. Your daily responsibilities include building advanced analytics and AI/ML models, performing data retrieval and cleaning, and creating visual narratives for non-technical leadership. The role requires expertise in Python, R, SQL, NoSQL, and distributed computing tools such as Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL. You will also utilize visualization packages like Plotly, Seaborn, or ggplot2. This position requires an active TS/SCI clearance and experience working on classified networks to address critical technical problems.
What does a Data Engineer earn?
Median $183138 from 214 postings across 58 companies.
Develop and lead the creation of algorithms and systems to process complex data sets.
Build advanced analytics and AI/ML models using tools like LLMs and agentic AI.
Perform data retrieval, cleaning, modeling, and accuracy testing for various projects.
Translate disparate data points into objective insights to inform client decision-making.
Create visual, written, and verbal narratives to communicate technical findings to non-technical leadership.
Identify system risks and articulate "go or no-go" criteria for stakeholders.
Manage data engineering tasks within classified networks in support of government clients.
What we're looking for
8+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products.
5+ years of experience building advanced analytics and AI/ML models, including tools leveraging LLMs or agentic AI.
Experience working on classified networks in support of DoW or IC clients.
Ability to visualize complex data for non-technical leadership while highlighting system risks and "go or no-go" criteria.
Active TS/SCI clearance and willingness to take a polygraph exam.
Bachelor's degree and 8+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing.
12+ years of experience with scientific techniques in lieu of a degree.
Experience with R, Python, SQL, NoSQL, distributed computing tools (Hadoop, Spark, etc.), and visualization packages (preferred).
Machine Learning
Artificial Intelligence
LLMs
Agentic AI
Python
R
SQL
NoSQL
Data Engineering
Data Warehousing
MapReduce
Hadoop
Hive
EMR
Kafka
Spark
Gurobi
MySQL
Plotly
Seaborn
ggplot2
Statistics
Probability Modeling