Context Layer Engineer

Booz Allen Hamilton•McLean, VA

3d•Remote

About The Position

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.

Requirements

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 NoSQL
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
Bachelor’s degree
U.S. citizen ship is required

Nice To Haves

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

Responsibilities

Architect and optimize the contextual intelligence layer that powers advanced analytics, reporting pipelines, machine learning models, and enterprise AI solutions.
Leverage deep expertise in contextual data engineering to create real-world impact.
Collaborate closely with clients to understand their mission needs and translate those into context models, ontologies, enrichment logic, and integration patterns.
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.
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.
Engineer the critical connective tissue between raw data and operational AI, enabling clients to understand what their data means, how it should be interpreted, and how it can be used.