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Manager Knowledge Graph Jobs in Washington, DC (NOW HIRING)

Graph Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Supplying the "Raw Ingredients" for the Semantic Knowledge Graph: Design, build, and deploy ... Applied experience with open lineage specifications or metadata management frameworks. * Data ...

Senior Ontology Engineer

Arlington, VA · On-site +1

$120K - $165K/yr

... manage the knowledge graph: RDF triple store (Apache Jena/Fuseki or similar), SHACL validation, SPARQL queries. • Build the governed ingestion path so extracted content lands in the graph with ...

Senior Ontology Engineer

Arlington, VA · Remote

$107K - $146K/yr

Build and manage the knowledge graph: RDF triple store (Apache Jena/Fuseki or similar), SHACL validation, SPARQL queries. * Build the governed ingestion path so extracted content lands in the graph ...

New

Senior Ontology Engineer

Arlington, VA · On-site

$120K - $165K/yr

Build and manage the knowledge graph: RDF triple store (Apache Jena/Fuseki or similar), SHACL validation, SPARQL queries. Build the governed ingestion path so extracted content lands in the graph ...

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Manager Knowledge Graph information

See Washington, DC salary details

$10

$29

$61

How much do manager knowledge graph jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for manager knowledge graph in Washington, DC is $29.84, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $37.02 per hour, depending on experience, location, and employer.

What is the difference between Manager Knowledge Graph vs Data Analyst?

AspectManager Knowledge GraphData Analyst
Required CredentialsBachelor's degree in Computer Science, Data Science, or related field; knowledge of graph databasesBachelor's degree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentCollaborative teams, often in tech or data-driven companiesOffice setting, analyzing data sets, creating reports
Industry UsageUsed in AI, semantic web, knowledge management projectsUsed across finance, marketing, healthcare for data insights

The Manager Knowledge Graph focuses on designing and managing knowledge graph systems, requiring expertise in graph databases and data modeling. Data Analysts primarily interpret data to generate insights, using statistical tools. While both roles work with data, the Manager Knowledge Graph is more technical and system-oriented, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Knowledge Graph jobs in Washington, DC?

The most popular types of Knowledge Graph jobs in Washington, DC are:

Data Engineer (Knowledge Graph Specialist)

Bethesda, MD • On-site

Black Cape
Software Development • 11 - 50 employees

$122K - $147K/yr

Other

Retirement

Re-posted 3 days ago


Job description

Data Engineer (Knowledge Graph Specialist)

Location: Bethesda, MD

Onsite: Expected to go onsite (into a SCIF) 3‑5 days per week

Clearance: TS/SCI required. Active TS/SCI clearance and willingness to obtain a CI Poly are mandatory. US citizenship or a Security Clearance issued by a US Government Customer is also required.

Responsibilities: Work with Department of War (DoW) and Intelligence Community (IC) customers to develop cloud‑native full‑stack web applications, advanced data‑analysis tools, and machine‑learning capabilities. Collaborate with cross‑functional teams, architect graph‑based data solutions, and deliver production‑ready services in classified environments.

Company Overview

Black Cape is a technology company focused on developing full‑stack web applications, advanced data‑analysis tools, and AI/ML capabilities for federal government customers. The team includes experienced engineers who deliver solutions across the DoW and IC by applying agile and DevOps practices.

Required Technical Skills
  • Bachelor’s degree and 1.5+ years of professional experience
  • Strong grasp of graph theory, data modeling, and complex relationship structures
  • Expertise with graph database solutions such as Neo4j, Amazon Neptune, or Anzograph
  • Familiarity with query languages including Cypher, SQL, and SPARQL
  • Proficiency with scripting languages such as Python and shell scripting
  • Experience with Linux systems (RedHat‑based distributions)
  • Experience working with software development teams
  • Willingness to work in classified government environments
  • Experience developing on MacOS, Windows, and Linux
Preferred Technical Skills
  • Experience with AWS Console and EC2 instance management
  • Background working with Object‑Based Intelligence
  • Experience communicating to senior stakeholders in a classified environment
  • CompTIA Security+ certification
Benefits

Great benefits including 401K, competitive salary, generous time off, mentorship & professional development, tuition reimbursement, and parental policy.

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