Data Engineer

Booz Allen Hamilton•Stafford, VA

4d•$62,000 - $141,000•Onsite

About The Position

Booz Allen is seeking a Data Engineer to build advanced technology solutions and implement data engineering activities on mission-driven projects. The role develops and deploys pipelines and platforms that organize disparate data and make it meaningful for client missions, including areas such as fraud detection, cancer research, and national intelligence. The engineer works with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment, supporting the assessment, design, development, and maintenance of scalable client platforms.

Requirements

3+ years of experience with data analytics, data mining, statistical analysis, or AI and machine learning.
3+ years of experience with major data science languages, including Python and R.
3+ years of experience retrieving, merging, and analyzing structured and unstructured data sources from APIs and databases, including through R, Python, or SQL.
Experience applying quantitative and analytical methods, such as statistical analysis, data modeling, forecasting, or optimization, in professional, research, or academic settings.
Experience with data visualization software, including Tableau and Power BI.
Ability to work independently with minimal oversight and direction.
Ability to travel up to 20% of the time.
TS/SCI clearance; selected applicants will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Bachelor's degree in Science, Technology, Engineering, or Mathematics.

Nice To Haves

Experience bundling Python code into an executable format.
Experience with the Palantir Foundry suite of tools.
Experience using War Data Platform to process and analyze datasets.
Experience advising and collaborating with stakeholders to evaluate data and optimize data usage.
Experience preparing and presenting briefings and papers to senior leadership.
Experience working with DoW or the U.S. Marine Corps.
Ability to analyze large, complex data sets and develop mathematical models to support a variety of client problems.
Excellent communication skills.

Responsibilities

Build advanced technology solutions and implement data engineering activities on mission-driven projects.
Develop and deploy pipelines and platforms that organize disparate data and make it meaningful.
Support the assessment, design, development, and maintenance of scalable platforms for clients.
Retrieve, merge, and analyze structured and unstructured data from APIs and databases.
Apply quantitative and analytical methods such as statistical analysis, data modeling, forecasting, and optimization.
Work with analysts, data engineers, developers, and data consumers in an agile environment.