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Software Engineer and Analytical Support (Fullstack)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR
Software Engineer and Analytical Support (Python/React/TypeScript): Building custom tools, scripts, and analytics that parse, normalize, and make large-scale datasets queryable for analyst teams with an accent on rapid iteration, customer collaboration, and data-focused problem solving. Focus on integrating database and frontend capabilities, developing tactical solutions, and supporting complex analytical workflows.

Location: Requires Top Secret/SCI clearance with Full Scope Poly.

Company

hirify.global develops custom software tools and analytical solutions for teams working across varied problem sets.

What you will do

  • Work with analysts and team members to understand user needs and deliver practical solutions.
  • Build custom tools, scripts, and analytics to parse and normalize data.
  • Develop fast-turnaround solutions and iterate frequently with customers.
  • Use and extend existing corporate tools, platforms, and team capabilities.
  • Identify opportunities to broaden tools across multiple efforts and support shared functionality.
  • Collaborate with analysts, data scientists, software engineers, and customer organizations.

Requirements

  • Top Secret/SCI clearance with Full Scope Poly is required.
  • 12 years of professional experience, or a bachelor’s degree in a technical discipline plus 8 years of experience.
  • Experience with datastores and databases such as SQL and Elastic.
  • Ability to write scripts, preferably in Python.
  • Experience interacting with customers.
  • Experience with frontend JavaScript development using React and TypeScript, plus familiarity with Git, Confluence, and Linux.

Nice to have

  • Experience with big data, MapReduce, large-scale analytics, or machine learning.
  • DevOps or Docker experience.
  • Knowledge of network analysis, including network mapping, packet analysis, or network topology.

Culture & Benefits

  • Work closely with users and customer teams to understand problems and improve tools.
  • Emphasis on speed, efficiency, accuracy, creativity, and short feedback loops.
  • Peer collaboration across software engineering, analytics, data science, and customer support functions.

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