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Data Engineer, Senior

Posted 1 day ago

OfficeArlington, VASE
Data Engineer, Senior

The Opportunity:

Supports the development and maintenance of scalable data pipelines and infrastructure to supply data for business analysis. Applies advanced theories, principles, and concepts to solve highly complex problems and contributes to the development of new approaches. Provides technical oversight and architectural guidance for data ingestion and processing pipelines, ensuring compliance with organizational standards and governance frameworks. Acts as a technical liaison between engineering teams, delivery managers, and stakeholders to ensure deliverables meet expectations and requirements. Maintains responsibility for supervision and development of first-level supervisors and managers.

You Have:

  • Experience with designing, constructing, and optimizing scalable, high-performance data pipelines and data infrastructure

  • Experience with providing technical oversight and architectural direction for data engineering projects

  • Experience with supervising and developing first-level supervisors and managers

  • Experience with Advana or War Data Platform

  • Experience with Python and Databricks environments

  • Knowledge of data catalog management and metadata tools for maintaining data lineage and discoverability

  • Ability to evaluate, validate, and communicate technical solutions in data engineering without hands-on coding

  • Ability to interact with stakeholders in technical discussions, answer inquiries, and ensure technical alignment

  • Secret clearance

  • Bachelor’s degree and 5+ of experience with data ingest and pipelines, or 10+ years of experience with data ingest and pipelines in lieu of a degree

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. 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 $77,600.00 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.

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, 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.

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.

Whether at the border, up in space, or on the battlefield, we build the advanced technology that makes America stronger, faster, and safer. It’s who we are and what we do. It’s in our code.

Employees
37242
Industry
Software Development
Headquarters
McLean, VA
Company location
8283 Greensboro Drive, McLean, VA 22102, US
Specialties
Defense Tech, Commercial Tech Partnerships, Venture Tech, Outcomes-Based Contracting, Quantum Computing, Zero Trust Cybersecurity, Advanced Cyber Defense, Cloud Computing Solutions, Software Development, Data Management, Edge Computing, Digital Twin, 5G/NextG Networks, Autonomous Systems, Digital Engineering, System Engineering & Platform Integration , Advanced Technology Products , Rapid Prototyping, Artificial Intelligence, and Machine Learning
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