Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
$135к-165к/год
$130к$150кмедиана$170к
По похожим ролям (48) ~ $150к/год
На СНГ рынке: $2.6к/мес ($1.9к - $3к)
80
Хорошая вакансия
развернуть
Обязанности и технологии описаны понятно, но обязательные гражданство США, действующий допуск и работа на объекте SCIF заметно ограничивают доступность вакансии.
Кликните для подробной информации
Нужен допускРабота в SCIFАктуальные технологииОборонные технологии
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (AI) (Python/SQL): Building and maintaining secure data pipelines, ETL/ELT workflows, and analytics-ready datasets with an accent on data transformations, validation, modeling, and quality practices. Focus on processing structured and unstructured data in classified environments, integrating platforms such as Databricks, Spark, and Palantir Foundry, and collaborating with mission stakeholders.
Location: On-site at Peterson Space Force Base, Colorado Springs, Colorado, United States; must be able to work onsite in a SCIF.
Salary: $135,000–$165,000 per year.
Company
hirify.global develops and integrates advanced technologies to support national security and critical civilian missions.
What you will do
Develop and maintain secure data pipelines and ETL/ELT workflows.
Build analytics-ready datasets from structured and unstructured data.
Process data using Databricks, Spark, Palantir Foundry, Maven Smart Systems, or comparable platforms.
Collaborate with data scientists, engineers, and mission stakeholders.
Requirements
U.S. citizenship and an active Secret security clearance are required; higher-level clearances, including TS/SCI, may be required and must be obtainable and maintainable based on project assignment.
Bachelor’s degree in computer science, data science, engineering, information systems, mathematics, or a related technical field. Equivalent combinations of education, technical certification, and relevant professional experience may be considered.
At least 3 years of relevant experience in data engineering, software development, data analytics, or enterprise platforms.
Experience with Python and SQL, including data validation, data modeling, and data-quality practices.
Familiarity with Spark, PySpark, Databricks, or comparable technologies.
Experience supporting ETL/ELT pipelines and data transformations.
Understanding of version control, testing, documentation, and Agile development.
Ability to collaborate with technical and nontechnical stakeholders.
Nice to have
Experience with Palantir Foundry, Maven Smart Systems, or War Data Platform.
Exposure to Docker, CI/CD, MLflow, APIs, or Terraform.
Familiarity with AWS or Azure.
Familiarity with DoD data environments and classified networks.
Prior Combatant Command support.
Solid Python and SQL skills with familiarity in JavaScript/TypeScript.
Culture & Benefits
Culture emphasizes happiness, helpfulness, honesty, humility, eagerness, and a strong work ethic.
Work supports national security and critical civilian missions.
Collaboration, mutual respect, transparent communication, and continuous improvement are emphasized.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →