This role pays less than
82%
of similar roles. Most pay
$143,697–$202,911
— the shaded band above.
At the midpoint, this role pays about
$127k
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.
Data Engineer, Senior serves on a team focused on transforming complex structured and unstructured data into actionable information to solve global challenges across private and public sectors. You will work closely with clients to identify their needs, develop algorithms and systems, and utilize various tools and frameworks to turn disparate data points into objective answers. The role involves building advanced analytics and AI or ML models, including those leveraging LLMs or agentic AI for tasks like data retrieval, cleaning, modeling, and accuracy evaluation. Required skills include experience with R, Python, SQL, NoSQL, MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, and MySQL. You will also utilize visualization packages such as Plotly, Seaborn, or ggplot2 to communicate complex concepts to non-technical leadership while working on classified networks for DoW or IC clients.
What does a Data Engineer earn?
Median $183138 from 214 postings across 58 companies.
Develop algorithms and systems to transform disparate data points into actionable information.
Build advanced analytics models using AI, machine learning, and LLM-based tools.
Perform data retrieval, cleaning, modeling, and accuracy testing for complex datasets.
Translate technical findings into graphical, written, and verbal narrative products.
Visualize complex data concepts to communicate risks and decision criteria to non-technical leadership.
Manage and process large volumes of structured and unstructured data from IoT and other sources.
Operate on classified networks to support Department of Defense or Intelligence Community clients.
What we're looking for
3+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products.
Experience building advanced analytics and AI/ML models including tools for data retrieval, cleaning, modeling, evaluation, and visualization.
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 3+ years of experience with scientific techniques like mathematics, statistics, AI, ML, or data engineering (or 7+ years experience without a degree).
2+ years of experience in the development of algorithms leveraging R, Python, or SQL/NoSQL (preferred).
2+ years of experience with distributed data tools, visualization packages, and advanced ML/AI/NLP (preferred); Master's degree (preferred).