Data Engineer
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means thatthere’smore structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights whenit’sgathered from disparate sources. We need an experienced data professional like you to help our clients find answers in their data toimpactimportant missions—from fraud detection to cancer research to national intelligence.
As a data engineer at Booz Allen,you’lluse yourexpertiseto help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry.You’llguide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful.
In this role,you’llcollaborate closely with AI Model Engineers, Network and Cloud Architects, the ISSE, and other technical leaders to guide the development of scalable, mission‑aligned data pipelines.You’llapply yourexpertisein data engineering, exploratory analysis, and feature development to shape how datasets are assessed, designed, transformed, andmaintainedfor AI/ML workloads. While supporting a cross‑functional technical environment,you’llhelp ensure high‑quality, well‑governed data flows that enable reliable model performance across operational, research, and enterprise systems.
Work with us to use data for good.
You Have:
6+ years of experience as a data engineer
Experience designing, implementing, andmaintainingscalable data pipelines for structured and unstructured data
Experience preparing validated, normalized, and secure datasets for AI/ML model development
Experience implementing data governance practices, including access control, lineage tracking, and dataset documentation
Experience developing dashboards and metrics for data and pipeline monitoring
E xperience building automated ETL workflows and CI/CD pipelines for data processes
Experienceoptimizingdata workflows across on‑prem, cloud, or hybrid environments
Ability tomonitorand improve pipeline performance in coordination with operations teams
TS/SCI clearance with a polygraph
HS diploma or GED
Nice If You Have:
10+ years of experience as a data engineer
Experience with distributed data and compute tools, such as Spark, Databricks, Hadoop, Hive, or Kafka
Experience with cloud environments, such as AWSorAzure
Experience developing real‑time or streaming data applications
Experience evaluating emerging technologies for data processing or AI/ML workflows
Experience working in environments with security, compliance, or ISSE oversight
Experience developing or supporting visualization tools and frameworks
Experience supporting AI/ML model development pipelines
Bachelor’s degree
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph 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.
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