Data Engineer
Phase2 Technology
- Fort Meade, Maryland, United States
- Fort Meade, Maryland, United States
À propos
The Opportunity 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 data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data professional like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence.
As a data engineer at Booz Allen, you’ll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission‑driven projects in the industry. You’ll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful.
In this role, you’ll collaborate 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’ll apply your expertise in data engineering, exploratory analysis, and feature development to shape how datasets are assessed, designed, transformed, and maintained for AI/ML workloads. While supporting a cross‑functional technical environment, you’ll help 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, and maintaining scalable 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
Experience building automated ETL workflows and CI/CD pipelines for data processes
Experience optimizing data workflows across on‑prem, cloud, or hybrid environments
Ability to monitor and 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 AWS or Azure
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 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. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The posting will close within 90 days from the posting date.
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Compétences linguistiques
- English
Avis aux utilisateurs
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