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Data Engineer, Mid

Job in Aurora, Arapahoe County, Colorado, 80012, USA
Listing for: Booz Allen Hamilton
Full Time position
Listed on 2026-08-20
Job specializations:
  • IT/Tech
    Data Engineering, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 77600 - 176000 USD Yearly USD 77600.00 176000.00 YEAR
Job Description & How to Apply Below

Join a culture of empowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

As a data engineer, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data engineer at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges.

Across private and public sectors—from fraud detection to cancer research to national intelligence,we need you to help find the answers in the data.

On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions.

Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

Work with us as we use data science for good.

Join us. The world can’t wait.

Data Engineer, Mid

As a data engineer, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data engineer at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges.

Across private and public sectors—from fraud detection to cancer research to national intelligence,we need you to help find the answers in the data.

On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions.

Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

Work with we use data science for good.

Join us. The world can’t wait.

You Have:
  • 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, including data retrieval and cleaning, modeling, accuracy evaluation or testing, and visualization

  • 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 clearly

  • Active TS/SCI clearance; willingness to take a polygraph exam

  • Bachelor’s degree and 3+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, or 7+ 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

Nice If You Have:
  • 2+ years of experience in the development of algorithms leveraging R, Python, or SQL and No

    SQL

  • 2+ years of experience with Distributed data and computing tools, including Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL

  • 2+ years of experience with Machine Learning, AI or NLP

  • Experience with visualization packages, including Plotly, Seaborn, or ggplot2

  • TS/S…

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