This role pays less than
59%
of similar roles. Most pay
$126,800–$200,350
— the shaded band above.
At the midpoint, this role pays about
$127k
versus about
$164k
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.
Data Engineer, Mid joins the team to transform complex structured and unstructured data into actionable information to solve global challenges across private and public sectors. The role involves collaborating with clients to identify their needs, digging into data-rich environments, and developing algorithms and systems using various tools and frameworks to turn disparate data points into objective answers. Key responsibilities include building advanced analytics and AI/ML models, including those leveraging LLMs or agentic AI, as well as performing data retrieval, cleaning, modeling, and visualization. The position requires proficiency in R, Python, SQL, NoSQL, and distributed computing tools like MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL. Candidates must possess an active TS/SCI clearance and experience with visualization packages such as Plotly, Seaborn, or ggplot2 to communicate complex concepts to non-technical leadership.
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 for clients.
Build advanced analytics and AI/ML models, including tools leveraging LLMs and agentic AI.
Perform data retrieval, cleaning, modeling, and accuracy testing for complex datasets.
Translate technical findings into graphical, written, and verbal narrative products for stakeholders.
Visualize complex data concepts for non-technical leadership to highlight system risks.
Provide deep analysis of data to help clients make informed decisions based on objective evidence.
Work within 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 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 3+ years of experience with scientific techniques like math, statistics, AI, machine learning, or data engineering (or 7+ years experience without a degree).
2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL (preferred).
2+ years of experience with Distributed data tools, Machine Learning/NLP, or visualization packages like Plotly, Seaborn, or ggplot2 (preferred).