Data Engineer, Senior

Booz Allen Hamilton

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Aurora, CO
Employment: Full-time
Posted: 71 days ago
Freshness: Confirmed live yesterday
Closes: Nov 15, 2026
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $161k

$105k $210k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$194,750.

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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · Data Engineer, Senior

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JOB TITLE: Data Engineer, Senior The Data Engineer, Senior joins a team focused on transforming complex, disparate data sets into objective answers to solve global challenges. In this role, you will lead the development of algorithms and systems while working closely with clients to understand their specific needs. You will be responsible for building advanced analytics and AI/ML models, including tools leveraging LLMs or agentic AI, and performing data retrieval, cleaning, modeling, and accuracy testing. The position requires proficiency in scientific techniques like mathematics, statistics, information science, and data warehousing. You will utilize tools such as R, Python, SQL, NoSQL, Spark, Kafka, and Hadoop. This work involves navigating data-rich environments to support DoW or IC clients in areas like fraud detection and national intelligence.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

See salary data

Skills

Python SQL NoSQL R Spark Kafka Hadoop Hive EMR MapReduce MySQL Plotly Seaborn ggplot2 LLMs Machine Learning Data Engineering Data Warehousing Statistics Gurobi

What you'll do

Build advanced analytics and AI/ML models, including tools leveraging LLMs or agentic AI.
Perform data retrieval, cleaning, modeling, accuracy evaluation, and testing.
Develop algorithms and systems to turn disparate data points into objective answers.
Translate complex technical findings into graphical, written, and visual narrative products.
Visualize complex data and concepts for non-technical leadership to highlight system risks.
Work on classified networks to support Department of Defense or Intelligence Community clients.
Guide teammates and lead the development of technical data solutions.

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 and concepts for non-technical leadership, highlighting system risks and articulating "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 such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing in lieu of a degree.
Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL (preferred); experience with Distributed data and computing tools (preferred); experience with visualization packages (preferred).