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2 месяца назад

Data Engineer (Maven)

Формат работы
onsite
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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TL;DR

Data Engineer (Maven/Palantir): Migrating existing ad hoc data flows to JWICS AWS for the USSTRATCOM J2 with an accent on automating data gathering and cleaning using Python. Focus on developing and operating a data management system for the intelligence enterprise using Maven Smart System and Palantir Foundry.

Location: Onsite in Omaha, NE. Active TS/SCI security clearance required

Company

Government contractor providing leading-edge support to federal customers, specializing in Defense and National Security mission sets.

What you will do

  • Design, implement, and operate data management systems for intelligence needs.
  • Automate data workflows using Python and other scripting languages.
  • Build pipelines and databases to optimize data retrieval, storage, and integration across different digital systems.
  • Implement digital solutions using the Maven Smart System and Palantir Foundry suite of tools.
  • Collaborate with government stakeholders to develop, construct, and maintain data architectures.
  • Deploy analytics programs and machine learning models to streamline data processes and visualizations.

Requirements

  • Active DoD Top Secret/SCI clearance required.
  • 8+ years of demonstrated experience in data or software engineering.
  • 4+ years of experience with Maven Smart System/Palantir systems.
  • 8+ years of experience with AWS big data technologies (S3, EC2), ETL development, and Data Warehousing.
  • Bachelor’s degree in Computer Science or a related hard science field.
  • Strong knowledge of software engineering best practices across the development lifecycle and agile methodologies.

Culture & Benefits

  • Opportunity to work on the Nation's most complex and rewarding challenges at the frontier of intelligence.
  • Vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation.
  • Professional environment supporting growth in Intelligence, Analytics, and Engineering disciplines.
  • Commitment to equal opportunity employment (EEO).

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