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Black Cape

Defense-focused software, analytics, ML solutions.

Data Engineer - Knowledge Graph Specialist

Data ManagementConfirmed live in the last 24 hours
Full-timeBethesda, MD, USANo salary listed

About the Job

Requirements

  • A bachelor's degree and at least 1.5 years of professional experience are required.
  • A strong grasp of graph theory and data modeling, with an interest in structuring complex, multidimensional relationships, is required.
  • Expertise with graph database solutions such as Anzograph, Neo4j, or Amazon Neptune is required.
  • Familiarity with database query languages including Cypher, SQL, and SPARQL is required.
  • Familiarity with scripting languages including Python and shell scripting is required.
  • Familiarity with Linux systems, including Red Hat-based distributions, is required.
  • Experience working with software development teams in any capacity is required.
  • Experience working in classified government environments and willingness to continue doing so are required.
  • Experience developing on macOS, Windows, and Linux is required.
  • An active TS/SCI clearance and willingness to obtain a CI polygraph are required.
  • U.S. citizenship is required.

Responsibilities

  • Work with intelligence analysts and technical teams to develop tools supporting object-based intelligence.
  • Communicate how to use the system being built to analysts, senior stakeholders, and other parties.

Desired Qualifications

  • Experience using the AWS Console, including basic management of EC2 instances.
  • Background in Object-Based Intelligence.
  • Experience communicating with senior stakeholders in a classified environment.
  • CompTIA Security+ certification.
  • Ability to help develop training materials in collaboration with the technical team.

About the Company

Black Cape

Defense-focused software, analytics, ML solutions.

Black Cape provides analytic modernization services for federal defense and intelligence. It offers software engineering for mission applications, data analytics, and machine learning to help government analysts and operators automate workflows and derive data-driven insights. The company uses a desk-side approach, working directly with analysts and warfighters to tailor, prototype, and deploy capabilities in demanding environments, with a data-centric agile development process. It differentiates itself through hands-on, field-facing delivery, a proven track record of deploying capabilities to DoD and coalition partners, and its status as a Service-Disabled Veteran-Owned Small Business (SDVOSB) and value-added reseller (VAR). The goal is to modernize how federal agencies conduct intelligence analysis by applying novel technology and processes to address defense and intelligence data challenges and deliver practical, deployable solutions.

Company size
201-500
Company stage
Grant
Total funding
$1.3M
Headquarters
Kansas City, MO
Founded
2019

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