Mid Data Engineer
$62k - $141kBooz Allen Hamilton
Job Number: R0252676 Data Engineer, Mid
The Opportunity: 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. You Have:
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.
The Opportunity: 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. 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
- 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
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.
Vacancy posted 1 day ago
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