Booz Allen
From Booz Allen's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
As a Data Engineer on our team, you’ll support Department of the Air Force data, analytics, and AI missions.
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.
Join us. The world can’t wait.
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
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
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.
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. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
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.
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