Data Engineer, Mid

Booz Allen Hamilton

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
Aurora, CO
Salary
$77,600–$176,000 / yr
Posted
23 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $164k
This role $127k
$63k most similar roles pay here $215k

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.

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At a glance

TL;DR · Data Engineer, Mid

Data Engineer, Mid serves on a team focused on transforming complex, disparate data sets into actionable information to solve global challenges across the public and private sectors. You will work closely with clients to identify their specific needs, developing algorithms and systems that turn raw data into objective answers for informed decision-making. The role involves building advanced analytics and AI/ML models, including tools leveraging LLMs or agentic AI, while performing data retrieval, cleaning, modeling, and accuracy testing. Key technical requirements include experience with R, Python, SQL, NoSQL, and distributed computing tools like MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL. You will also utilize visualization packages such as Plotly, Seaborn, or ggplot2 to communicate complex findings 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.

See salary data

What you'll do

  • Develop algorithms and systems to transform disparate data points into actionable information.
  • Build advanced analytics and AI/ML models using tools like 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.
  • 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.
  • Work 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 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.
  • 7+ years of experience with scientific techniques such as math, statistics, AI, machine learning, or data engineering in lieu of a degree.
  • Experience with R, Python, SQL, NoSQL, distributed computing tools (Hadoop, Spark, etc.), and visualization packages (preferred); Master's degree (preferred).

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