Data Engineer
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Role details
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Job description
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources.
Requirements
We are seeking a highly skilled Data Engineer and AI Solutions Engineer to support mission-focused Intelligence Community objectives. This role combines advanced data engineering expertise with Generative AI and Agentic AI capabilities to design, build, and maintain scalable, secure, and efficient data and AI solutions. The ideal candidate will have strong experience in data collection, ingestion, storage, processing, modeling, warehousing, and retrieval, along with the ability to develop and integrate AI-enabled services, LLM-based workflows, and agentic automation into mission systems. This individual will work closely with data scientists, analysts, software developers, and other stakeholders to ensure technical solutions are aligned to Command objectives and operational needs. This role is best suited for someone who excels in data architecture, pipeline development, cloud engineering, AI integration, and technical collaboration in fast-paced Agile environments., * 5+ years of experience in application development
- 5+ years of experience designing, developing, operationalizing and maintaining complex data applications at enterprise scale
- 3+ years of experience creating software for retrieving, parsing and processing structured and unstructured data
- 3+ years of experience building scalable ETL and ELT workflows for reporting and analytics
- 2+ years of experience with developing agentic workflows
- Experience creating solutions within a collaborative, cross-functional team environment
- Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms
- TS/SCI clearance
- Bachelor’s degree in Computer Science, Operations Research, or Data Science
Nice If You Have:
- Experience with Python, SQL, HTML or Java
- Experience with Maven Smart System (MSS)
- Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
- Experience with Agile engineering practices
Benefits & conditions
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 $77,500.00 to $176,000.00 (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.
About the company
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, whether it occurs in person or virtually. 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
- Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
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