Data Engineer

Booz Allen Hamilton • Usa, GA

2d • $61,900 - $141,000

About The Position

As a Data Engineer at Booz Allen, you will help clients organize structured and unstructured data from disparate sources to generate insights for mission-driven work, including areas such as fraud detection, cancer research, and national intelligence. You will build advanced technology solutions and implement data engineering activities, developing and deploying pipelines and platforms that make disparate data 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 while applying analytical exploration and data examination skills. The position requires a TS/SCI clearance and the ability to travel to OCONUS locations up to 25% of the time.

The projected annual compensation range is $61,900 to $141,000. Booz Allen offers health, life, disability, financial, and retirement benefits; paid leave; professional development; tuition assistance; work-life programs; dependent care; and recognition awards. Eligibility for benefits varies by hours worked. The position is subject to identity verification during hiring, and AI or other tools may not be used to assist with interview responses unless explicitly permitted.

Requirements

• Experience with Palantir Foundry.
• Experience with Python.
• Experience with CI/CD practices.
• Experience with SQL.
• Ability to travel to OCONUS locations up to 25% of the time.
• TS/SCI clearance; applicants are subject to a security investigation and must meet eligibility requirements for access to classified information.
• High school diploma or GED.

Responsibilities

• Build advanced technology solutions and implement data engineering activities on mission-driven projects.
• Develop and deploy data pipelines and platforms that organize disparate data and make it meaningful.
• Support the assessment, design, development, and maintenance of scalable client platforms.
• Work with analysts, data engineers, developers, and data consumers in an agile environment.
• Use analytical exploration and data examination to support client work.

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
• Education Level: High school or GED