Realtime Data Analytics Engineer

Job Number: R0245465

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 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 $ (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.

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