Realtime Data Analytics Engineer Security Clearance

Position: Realtime Data Analytics Engineer with Security Clearance
Location: Alpha

Job Number: R0245465 Realtime Data Analytics Engineer

The Opportunity:

Are you looking for an opportunity not just to analyze data, but to architect real-time analytics platforms that deliver critical insights in the defense industry? As a Realtime Data Analytics Engineer, you'll drive end-to-end product design, from ingestion to computation to visualization for low-latency, high-volume data pipelines. Using agile lifecycle development and Git-based workflows, you'll partner with engineers, architects, and data scientists to operationalize streaming analytics, embed models into production systems, and deliver insights where milliseconds matter.

As a data engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.

You'll use your experience in analytical exploration and data examinations while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. What You'll Do:
* Architect and optimize streaming analytics pipelines using Kafka, Flink, Spark Streaming, or Kafka Streams, including windowing, stateful processing, and exactly-once semantics.

* Build and refine data models, feature extraction patterns, and time series analytics for large scale, high-velocity data.

* Design and deploy real-time APIs and visualization layers using REST, Web Sockets, and modern UI frameworks.

* Integrate operational machine learning workflows, including online inference, drift monitoring, and performance tuning.

* Implement observability for analytics workloads, including metrics, tracing, and instrumentation for data quality and latency.

* Utilize Docker and Kubernetes to deploy analytics services across cloud environments such as AWS and Azure.

* Establish best practices for data governance, schema evolution, lineage, and auditability across streaming ecosystems.

* Mentor engineers and data scientists, review designs and code, and champion SDLC best practices, testing, and documentation. Join us. The world can't wait. You Have:
* 5+ years of experience in data engineering, analytics engineering, or streaming-focused software development

* Experience with Python, SQL, and a streaming framework such as Flink, Spark Streaming, Kafka Streams, or ksqlDB

* Experience with relational data stores such as PostgreSQL or SQL Server, and No

SQL platforms such as MongoDB or DynamoDB

* Knowledge of building and exposing analytics through REST APIs, Web Sockets, and front-end technologies

* Ability to work with Docker and Kubernetes for scalable analytics deployments

* Ability to travel up to 25% of the time

* Secret clearance

* Bachelor's degree Nice If You Have:
* Experience with real-time feature stores, Delta Lake, Apache Iceberg, or other large-scale data lake technologies

* Experience with advanced observability, anomaly detection, or model monitoring

* Experience integrating analytics with game engines, such as Unity, Unreal, or Prepar3D, for spatial or simulation-driven visualization

* Experience with data warehousing using AWS Redshift, MySQL, or Snowflake

* Experience with Agile engineering practices

* Top Secret clearance 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…