Data Engineer, Senior

Booz Allen Hamilton

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Aurora, CO
Employment: Full-time
Posted: 69 days ago
Freshness: Confirmed live yesterday
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.

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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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The Data Engineer, Senior joins a team focused on transforming complex structured and unstructured data into objective answers for private and public sector clients. You will work closely with clients to understand their needs, digging into data-rich environments to develop algorithms and systems that solve problems in areas like fraud detection and national intelligence. Your daily responsibilities include data retrieval, cleaning, modeling, accuracy evaluation, and visualization for non-technical leadership. You will utilize a technical stack including R, Python, SQL, NoSQL, MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, and MySQL. The role requires expertise in AI, ML, NLP, and statistics to build advanced models leveraging LLMs or agentic AI while working on classified networks in support of DoW or IC clients.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

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Skills

Python SQL NoSQL R Spark Kafka Hadoop Hive EMR MySQL MapReduce Plotly Seaborn ggplot2 NLP LLMs Data Warehousing Data Mining Statistics Probability Modeling Gurobi

What you'll do

Develop algorithms and systems to transform disparate data points into objective answers.
Build advanced analytics and AI/ML models, including tools for data retrieval and cleaning.
Create visual, written, and verbal narrative products to correlate complex technical findings.
Visualize complex data concepts for non-technical leadership to highlight system risks.
Work on classified networks to support Department of Defense or Intelligence Community clients.
Provide deep analysis of data to help clients make informed, real-world decisions.
Evaluate and test the accuracy of machine learning models and agentic AI tools.

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 or 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 3+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, ML, probability modeling, data mining, data engineering, or data warehousing.
7+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, ML, probability modeling, data mining, data engineering, or data warehousing in lieu of a degree.
2+ years of experience in algorithm development using R, Python, SQL, or NoSQL (preferred); 2+ years with distributed data tools (preferred); 2+ years with ML, AI, or NLP (preferred); experience with visualization packages (preferred); Master’s degree (preferred).

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