Context Layer Engineer

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
McLean, VA
Employment
Full-time
Posted
54 days ago
Freshness
Confirmed live today
Closes
Dec 1, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $189k
$124k $254k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $136,725–$241,750.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · Context Layer Engineer

As a Context Layer Engineer, you will join a team dedicated to designing systems that interpret, enrich, and operationalize context across complex data and AI ecosystems. You will architect and optimize the contextual intelligence layer for advanced analytics, reporting pipelines, and machine learning models. Your daily responsibilities include collaborating with clients to translate mission needs into context models, ontologies, and enrichment logic. You will lead the development of algorithms to unify disparate data sources, resolve entities, and deliver structured context to downstream applications. Required skills include experience in data exploration, cleaning, analysis, and visualization using R, Python, SQL, or NoSQL. You should also possess expertise in natural language processing, text mining, and machine learning techniques to support operational AI and quantitative analyses.

What you'll do

  • Architect and optimize the contextual intelligence layer for advanced analytics and machine learning models.
  • Translate client mission needs into context models, ontologies, and enrichment logic.
  • Develop systems and algorithms to unify disparate data sources and resolve entities.
  • Build resilient context pipelines to enhance model performance and support intelligent automation.
  • Incorporate domain knowledge into data structures to deliver structured context to downstream applications.
  • Engineer the connective tissue between raw data and operational AI to provide decision-quality insights.
  • Lead the development of technical solutions for complex programs using Python, R, or SQL.

What we're looking for

  • U.S. citizenship is required.
  • 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, 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.

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