Data Engineer
$77.6k - $176kBooz Allen Hamilton
Job Number: R0251749 Data Engineer
The Opportunity: Rapid advances in IoT, machine learning, and artificial intelligence mean organizations have access to more data than ever before-both structured and unstructured. Turning that data into actionable insight requires strong engineering, thoughtful design, and scalable platforms. As a senior Data Engineer at Booz Allen, you will design and build data platforms and pipelines that power critical outcomes. You will work on complex, high-impact programs that help clients solve real-world challenges with data. You'll collaborate with analysts, AI engineers, developers, and stakeholders in a fast-paced, agile environment. In this role, you will lead technical efforts across assessment, design, development, and sustainment of scalable data platforms while mentoring teammates and driving best practices. What You'll Work On:
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: Rapid advances in IoT, machine learning, and artificial intelligence mean organizations have access to more data than ever before-both structured and unstructured. Turning that data into actionable insight requires strong engineering, thoughtful design, and scalable platforms. As a senior Data Engineer at Booz Allen, you will design and build data platforms and pipelines that power critical outcomes. You will work on complex, high-impact programs that help clients solve real-world challenges with data. You'll collaborate with analysts, AI engineers, developers, and stakeholders in a fast-paced, agile environment. In this role, you will lead technical efforts across assessment, design, development, and sustainment of scalable data platforms while mentoring teammates and driving best practices. What You'll Work On:
- Design, build, and maintain scalable data pipelines and platforms.
- Develop secure, efficient Python for data processing, automation, and warehousing.
- Migrate and integrate data from on-premises systems to cloud environments.
- Implement CI/CD pipelines to automate build, test, and deployment workflows.
- Develop SQL scripts and stored procedures for data processing and transformation.
- Apply data modeling best practices.
- Support data governance, metadata tagging, and access controls.
- Partner with cross-functional teams to deliver end-to-end data solutions.
- Provide technical guidance in a complex enterprise environment.
- 2+ years of experience as a data engineer supporting large-scale enterprise systems
- Experience writing clean, secure, and efficient Python for data engineering use cases
- Experience moving data from on-prem environments to the cloud and automating development workflows, including building, deploying, or managing applications
- Experience with CI/CD practices
- Experience with SQL, including stored procedures and data modeling
- Experience with data governance and data tagging
- Ability to work independently and manage tasks with minimal supervision
- TS/SCI clearance
- HS diploma or GED
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 2 days ago
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