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3 дня назад

Data Engineer (Python)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer (Python) (ETL/classified platforms): Building and maintaining ETL pipelines on a stand-alone classified data platform with an accent on graph databases, data integration, and end-to-end computing environment administration. Focus on implementing orchestration and storage solutions, configuring server and network infrastructure, and conducting vulnerability assessments in a secured environment.

Location: On-site in the Washington, D.C. metro area, with occasional domestic travel possible

U.S. citizenship and an active Top Secret clearance are required; the ability to obtain SCI is also required. Start date: September 28, 2026.

Company

M&S Consulting is a Women-Owned, HUBZone-certified small business providing technical services from its headquarters in Morgantown, West Virginia.

What you will do

  • Build, maintain, troubleshoot, and optimize ETL pipelines on a stand-alone classified data platform.
  • Develop and implement tools and methods for extracting, cleaning, parsing, storing, and retrieving data.
  • Work with data owners and analysts to understand data provenance, formats, and context, and provide stakeholder feedback.
  • Create data-holdings reports and technical documentation while communicating updates and issues to technical staff.
  • Administer the computing environment, including server hardware, software, rack-mounted hardware, and stand-alone networks.
  • Perform system maintenance, vulnerability assessments, security audits, and issue resolution.

Requirements

  • Active Top Secret clearance and ability to obtain SCI.
  • U.S. citizenship.
  • 3–5 years of professional experience with Python, data engineering, ETL pipelines, data storage and retrieval optimization, pipeline orchestration, and practical data science.
  • Hands-on experience with graph modeling and graph databases.
  • Working knowledge of industry-standard data engineering tools and strong communication skills.
  • Ability to work independently and take ownership of technical work in an on-site classified environment.

Nice to have

  • Experience with Open Metadata, PostgreSQL, Data Load Tool, Dagster, Airflow, or Prefect.
  • Experience with Neo4j or Amazon Neptune.
  • Experience with air-gapped or classified environments, Linux or Windows server administration, STIG compliance, and vulnerability scanning.

Culture & Benefits

  • Direct-hire, long-term position with a small-company environment.
  • Direct access to leadership and ownership of technical work.
  • Health coverage, retirement plan, and paid time off.
  • Meaningful work supporting a cleared environment.

Hiring process

  • Submit a résumé by email with the subject line “Data Engineer — DC.”
  • Include the current clearance level and investigation date.

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