Data Engineer, Mid

Booz Allen Hamilton; South Dakota; On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Engineer, Mid to unlock insights from complex datasets in IoT, ML, and AI contexts. You’ll turn data into actionable information for national security and other clients, building scalable data pipelines and analytics solutions.

You'll work with clients to understand questions, develop algorithms, and visualize results. A TS/SCI clearance is required, with polygraph willingness. A Bachelor’s degree or 7+ years of relevant experience is expected.

Qualifications

• Bachelor’s degree with 3+ years in mathematics, statistics, AI/ML, data science, or data warehousing.
• 3+ years correlating findings into narrative, graphical or verbal formats.
• Experience with DoD/IC clients on classified networks.

Skills

AI/ML models

LLMs

Data visualization

Classified networks

Clearance TS/SCI

Bachelor’s degree

Education

Bachelor’s degree

7+ years experience in lieu of degree

Tools

Python

SQL

NoSQL

MapReduce

Hadoop

Hive

EMR

Kafka

Spark

Gurobi

MySQL

Plotly

Seaborn

ggplot2

Job description

Data Engineer, Mid

The Opportunity:

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.

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 NoSQL

• 2+ years of experience with Distributed data and computing tools, including MapReduce, 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/SCI clearance with a polygraph

• Master’s degree

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.