Context Layer Engineer

Booz Allen Hamilton

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $99,000–$225,000 / yr
Posted: 7 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $193k

This role $162k

$82k most similar roles pay here $257k

This role pays less than 66% of similar roles. Most pay $145,812–$240,000 — the shaded band above. At the midpoint, this role pays about $162k versus about $193k for comparable roles.

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 799 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 780 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Context Layer Engineer

Role Posting Log in to save

As a Context Layer Engineer, you will join the team to design and optimize the contextual intelligence layer that powers advanced analytics, reporting pipelines, machine learning models, and enterprise AI solutions. You will collaborate with clients to translate mission needs into context models, ontologies, enrichment logic, and integration patterns while leading the development of systems and algorithms that unify disparate data sources and resolve entities. The role focuses on building the connective tissue between raw data and operational AI to ensure data is interpreted correctly for downstream applications. Required skills include experience in data exploration, cleaning, analysis, and mining of structured and unstructured sources using R, Python, or SQL/NoSQL. You will also utilize natural language processing, text mining, and machine learning techniques, with potential exposure to tools like Spark, Kafka, and dbt Semantic Layer.

Skills

Python SQL R NoSQL Machine Learning Natural Language Processing Text Mining Spark Kafka Hadoop Hive EMR MySQL Gurobi dbt Databricks Data Engineering Data Visualization

What you'll do

Architect and optimize contextual intelligence layers for analytics, reporting pipelines, and machine learning models.
Translate client mission needs into context models, ontologies, enrichment logic, and integration patterns.
Develop systems and algorithms to unify disparate data sources and resolve entities.
Incorporate domain knowledge into data structures to provide structured context for downstream applications.
Build resilient data pipelines using Python, R, or SQL to enhance model performance and automation.
Perform advanced data exploration, cleaning, and mining on both structured and unstructured data.
Apply natural language processing and machine learning techniques to improve operational AI systems.

What we're looking for

U.S. citizenship is required.
Bachelor's degree is required.
5+ years of experience with data exploration, cleaning, analysis, visualization, or mining.
5+ years of experience analyzing structured and unstructured data sources.
Experience in data manipulation using 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.

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