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.
As a Data Engineer, Mid, you will join a multi-disciplinary team of analysts and developers in an agile environment to build advanced technology solutions for mission-driven projects. You will be responsible for the assessment, design, construction, and maintenance of scalable platforms while deploying pipelines that organize disparate data into meaningful insights. Your daily work involves retrieving, merging, and analyzing structured and unstructured data from APIs and databases. To succeed, you must possess expertise in Python, R, or SQL, along with experience in Large Language Models, Generative AI, data mining, and statistical analysis. The role specifically addresses complex problems such as fraud detection, cancer research, and national intelligence. Candidates must hold a TS/SCI clearance with a polygraph and demonstrate proficiency in preparing data for use with AI models to solve critical information challenges.
What does a Data Engineer earn?
Median $183138 from 214 postings across 58 companies.
Develop and deploy data pipelines and platforms to organize disparate data sources.
Retrieve, merge, and analyze structured and unstructured data from APIs and databases.
Prepare high-quality datasets specifically for use with AI and Generative AI models.
Manage the assessment, design, building, and maintenance of scalable data platforms.
Integrate Large Language Models (LLMs) to streamline existing workflows.
Perform data mining, statistical analysis, and evaluation of AI/ML model performance.
Execute data engineering activities for mission-critical projects involving fraud detection or intelligence.
What we're looking for
TS/SCI clearance with polygraph is required.
A Bachelor's degree and 3+ years of experience in data engineering are required, or 7+ years of experience in lieu of a degree.
2+ years of experience with major data science languages such as Python and R.
2+ years of experience retrieving, merging, and analyzing structured and unstructured data from APIs and databases using Python, R, or SQL.
Experience with Large Language Models (LLMs) and Generative AI (GenAI).
Experience preparing data for use with AI or GenAI models.
Experience with data analytics, data mining, statistical analysis, or AI and ML.
Experience streamlining workflows by integrating LLMs/GenAI, conducting architecture and ETL for DoD/federal agencies, evaluating model performance, or intelligence analysis (preferred).
SQL
Python
R
Data Visualization
Data Pipelines
Machine Learning
Artificial Intelligence
Hadoop
Hive
EMR
Kafka
Spark
Gurobi
MySQL
Plotly
Seaborn
ggplot2
C++
JavaScript
Go
Microsoft Office