Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Средняя
$170к-190к/год
$160к$180кмедиана$200к
По похожим ролям (49) ~ $180к/год
На СНГ рынке: $4.2к/мес ($3.1к - $5.9к)
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Роль хорошо очерчена и сочетает техническое лидерство с актуальной платформой данных, но обязательный действующий допуск Secret сильно ограничивает круг тех, кому доступна эта возможность.
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Нужен допускСовременный стекРоль с лидерствомОборонная сфера
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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