Data Engineer, Mid

Booz Allen; Arlington (VA); Sur place; USD 62 000 - 141 000; Plein temps

Résumé du poste

Booz Allen Hamilton in Arlington, VA seeks a Mid Data Engineer to design and maintain data pipelines across cloud and on‑prem environments for DoD analytics and AI missions.

You will collaborate with engineers, data scientists, and cybersecurity professionals to turn diverse data into trusted assets, implementing validation, monitoring, and performance optimization to support mission-ready data infrastructure.

Qualifications

• 3+ years of data engineering experience building production data pipelines for DoW/DoD missions.
• Proficiency with Python and SQL to integrate data from databases, APIs, and operational systems.
• Experience building automated batch or streaming pipelines with data validation, failure recovery, and performance monitoring.
• Experience implementing cloud data infrastructure, including storage, data modeling, and query optimization.
• Secret clearance.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a technology field.

Responsabilités

• Build and maintain data pipelines across cloud and on‑prem environments.
• Collaborate with mission experts, architects, data scientists, and cybersecurity professionals to deliver trusted data assets.
• Write production-grade code with monitoring and troubleshooting to support analytics and AI applications.
• Turn disparate operational data into actionable, reusable data products.

Connaissances

Python

SQL

Data pipelines

Batch processing

Streaming pipelines

Cloud data infra

Data modeling

Query optimization

Formation

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a technology field

Description du poste

Join a culture of empowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that support your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

Are you looking for an opportunity to build the data infrastructure that powers mission analytics and artificial intelligence? You understand that reliable analytics start with well-engineered data—secure connections to authoritative sources, dependable pipelines, meaningful metadata, and infrastructure that performs in production.

As a Data Engineer on our team, you’ll support Department of the Air Force data, analytics, and AI missions. You’ll build and maintain pipelines that acquire, transform, validate, and deliver data across cloud and on-premises environments. Working with mission experts, architects, data scientists, and cybersecurity professionals, you’ll turn disparate operational data into trusted, reusable assets.

You’ll contribute directly to production systems through coding, integration, deployment, monitoring, and troubleshooting. Your work will help analysts and AI applications access current, understandable, and appropriately protected data.

Data Engineer, Mid

You Have

• 3+ years of experience with data engineering, including building and operating production data pipelines for DoW/DoD missions
• Experience using Python and SQL to integrate data from enterprise databases, APIs, and operational systems
• Experience building automated batch or streaming pipelines with data validation, failure recovery, and performance monitoring
• Experience implementing cloud data infrastructure, including storage, data modeling, and query optimization
• Secret clearance
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a technology field

Nice If You Have

• Experience with distributed data processing, change data capture, or event-driven architectures
• Experience implementing data catalogs, lineage, semantic models, or governed data products
• Experience engineering datasets and pipelines for machine learning or RAG applications

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 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.

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 $62,000.00 to $141,000.00 (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. 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 or customer facility, in alignment with your leadership’s expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a 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.