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12 часов назад

Lead Data Engineer (National Security)

170 000 - 190 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior/lead
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
Lead Data Engineer (National Security): Building scalable Databricks ETL/ELT pipelines and actionable data platforms for U.S. national defense missions with an accent on Python/PySpark, SQL optimization, architecture, and pipeline reliability. Focus on translating complex government requirements into technical specifications, leading engineering work, and solving performance, security, and data integrity challenges.

Location: Remote; U.S. citizenship and a current, active U.S. Government Secret clearance required.

Salary: $170,000–$190,000 per year base salary, with potential benefits and performance-based or other incentive compensation.

Company

hirify.global Corporation delivers data insights and technology solutions for customers supporting missions critical to U.S. national interests.

What you will do

  • Provide day-to-day technical direction, prioritize tasks, lead code reviews, apply design best practices, and mentor engineers.
  • Work with government stakeholders to elicit and translate mission requirements into technical specifications, interface designs, and scalable data models.
  • Architect, develop, optimize, and maintain high-throughput ETL/ELT workflows in Databricks using Python and SQL.
  • Diagnose pipeline bottlenecks, debug complex data workflows, and implement automation to improve reliability and data integrity.
  • Collaborate with government product owners, data scientists, data analysts, and technical peers to coordinate sprints and communicate engineering trade-offs.
  • Create and maintain documentation for pipeline architecture, code, and configurations.

Requirements

  • U.S. citizenship and a current, active U.S. Government Secret clearance are mandatory; applicants without an active Secret clearance cannot be considered.
  • At least 8 years of professional data engineering experience building enterprise-scale data platforms and pipelines.
  • Experience providing technical mentorship, performing code reviews, and overseeing daily technical tasks for other engineers.
  • Hands-on experience designing and optimizing data transformation workflows in Databricks.
  • Advanced modular, object-oriented Python/PySpark skills and extensive experience writing, tuning, and optimizing complex SQL queries.
  • Experience building functional, user-centric reports and dashboards with modern data visualization tools.

Nice to have

  • Hands-on experience with Apache Spark and distributed computing frameworks.
  • Familiarity with modern agile and DevOps tools such as GitLab and Jira.
  • Experience with DoD, defense, or intelligence community data environments and compliance standards.
  • Knowledge of data governance, metadata management, and data cataloging frameworks.
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related technical discipline.

Culture & Benefits

  • Remote work arrangement.
  • Opportunity to support difficult and important national security missions as a trusted technical partner.
  • Comprehensive benefits programs for eligible employees.
  • Potential performance-based or other incentive compensation for eligible employees.

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