Data Visualization Engineer, Lead
Listed on 2026-09-11
-
IT/Tech
Data Analyst, Data Engineering, Data Scientist, Data Science Manager
Join a culture of empowerment and connectivity.
Develop your craftLearn the skills you need to accelerate your career.
Discover benefits that your life and work.
Innovate with intentionBuild mission-ready tech that protects the nation.
As a data scientist, 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 scientist at Booz Allen, you can 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 a seasoned data scientist like you to help find the answers in the data.
On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with 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 guide and mentor your team as you oversee the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions.
As a technical leader, you’ll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. 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:
5+ years of experience with Data analysis, such as recognizing and investigating data quality and various data types, including discerning structure and relationships within data
5+ years of experience with Data visualization, such as creating charts with basic design principles
5+ years of experience with Data pipeline engineering, such as executing data transformation stages
4+ years of experience with programming languages, including Python, R, or SQL, for data manipulation and analysis
Experience working in Foundry, including building or maintaining data pipelines with Code Repository
Knowledge of database-driven application development and design
Ability to develop and maintain interactive dashboards and visualizations in Foundry, Power BI, Tableau, or Qlik to communicate data insights to business stakeholders
Ability to collaborate with business analysts or users to clarify requirements, work closely with different business groups to comprehend and respond to their reporting and dashboard needs, be self-motivated, and pay strict attention to detail
Bachelor's degree in CS, Data Science, or Computer Engineering
Nice If You Have:
Experience with analytics and data science techniques, including AI/ML
Experience with DoD clients
Experience with Army data systems
Knowledge of front-end design and data visualization techniques and best practices
Knowledge of Military terms
Ability to learn technical concepts quickly and communicate with multiple functional groups
Possession of excellent verbal and written communication skills
Possession of strong analytical, problem-solving, and critical thinking skills
Master’s degree in CS, Data Science, Computer Engineering or a related field
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;
Secret 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…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).