Context Layer Engineer

Join a culture of empowerment and connectivity.

Learn the skills you need to accelerate your career.

Discover benefits that your life and work.

Build mission-ready tech that protects the nation.

As a Context Layer Engineer, you’re excited by the challenge of designing systems that can interpret, enrich, and operationalize context across complex data and AI ecosystems. In a growing business, disparate data systems require sophisticated contextualization to create meaningful, reliable, and mission‑ready outputs. As a Context Layer Engineer at Booz Allen, you will help architect and optimize the contextual intelligence layer that powers advanced analytics, reporting pipelines, machine learning models, and enterprise AI solutions.

On our team, you’ll leverage deep expertise in contextual data engineering to create real‑world impact. You’ll collaborate closely with clients to understand their mission needs and translate those into context models, ontologies, enrichment logic, and integration patterns. You’ll guide teammates and lead the development of systems and algorithms that unify disparate data sources, resolve entities, incorporate domain knowledge, and deliver structured context to downstream applications.

You’ll use the right combination of tools and frameworks to build resilient context pipelines that enhance model performance, enable decision‑quality insights, and support intelligent automation.

Ultimately, you’ll engineer the critical connective tissue between raw data and operational AI, enabling your clients to understand what their data means, how it should be interpreted, and how it can be used. Due to the nature of work performed within this facility, U.S. citizen ship is required .

Join us. The world can’t wait.

• 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
• 5+ years of experience analyzing structured and unstructured data sources
• Experience in data manipulation leveraging R, Python, or SQL or No
  
  SQL
• Experience supporting operational AI, quantitative analyses, and visualization of targeted data sources
• Experience leading the development of solutions to complex programs
• Experience with natural language processing, text mining, or machine learning techniques

• Experience with distributed data or computing tools, including Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
• Experience with semantic layer tools such as Cube, dbt Semantic Layer, or Databricks Unity Catalog Semantics

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 $99,000.00 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.

As a Context Layer Engineer, you’re excited by the challenge of designing systems that can interpret, enrich, and…