Data Engineer

Booz Allen Hamilton • Stafford, VA

8d • $62,000 - $141,000

About The Position

As a Data Engineer at Booz Allen, you will build advanced technology solutions and implement data engineering activities on mission-driven projects. You will develop and deploy pipelines and platforms that organize disparate data and make it meaningful. Working with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment, you will support the assessment, design, development, and maintenance of scalable client platforms and apply analytical exploration and data examination to help clients use data to address mission needs.

Requirements

• At least 3 years of experience with data analytics, data mining, statistical analysis, or AI and machine learning.
• At least 3 years of experience with major data science languages, including Python and R.
• At least 3 years of experience retrieving, merging, and analyzing structured and unstructured data 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.
• 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 datasets and develop mathematical models to support client problems.
• Excellent communication skills.

Responsibilities

• Build advanced technology solutions and implement data engineering activities for client 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.
• Work with analysts, data engineers, developers, and data consumers in an agile environment.
• Use data and analytical methods to support client missions, including areas such as fraud detection, cancer research, and national intelligence.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level