Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
Мало
$90к-105к/год
$120к$140кмедиана$170к
По похожим ролям (48) ~ $140к/год
69
Хорошая вакансия
развернуть
У роли четкий фокус на data engineering и полезный опыт с Databricks и управлением данными, но требование гражданства США и проверки для работы с госзаказом заметно ограничивает круг подходящих специалистов.
Кликните для подробной информации
Ниже рынкаОграничения по допускуСовременный стек данныхПонятные задачиЕсть обучение
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Solution Engineer (Databricks): Building and testing Databricks data pipelines across bronze, silver, and gold medallion layers with an accent on data governance, protection policies, and declarative configuration. Focus on implementing metadata and tagging standards, applying column masking and access controls, and validating data quality against contracts and business rules.
Location: Remote within the United States; occasional travel of less than 10% may be required.
Salary: $90,000–$105,000 annually.
Company
hirify.global delivers technology-enabled solutions across defense, civilian, and homeland security sectors for federal government customers.
What you will do
Develop, test, and implement Databricks data pipelines using SQL, Python, and Apache Spark for pilots, proof-of-concept solutions, and production workflows.
Build and maintain pipelines across Bronze, Silver, and Gold layers of the medallion architecture.
Implement data governance tagging, metadata standards, and classification roles in Unity Catalog.
Apply column masking, access controls, row-level security, and reference data lookups.
Define pipeline and workflow configurations using YAML and configuration-as-code practices.
Execute data quality testing and validation for accuracy, completeness, consistency, compliance, data contracts, and business rules.
Requirements
BS/BA degree and 3–5 years of data engineering experience, including hands-on work with Databricks, Spark, and YAML, or an equivalent combination of education and experience.
Experience designing data governance, tagging, and metadata standards.
Deep understanding of medallion architecture and how metadata, sensitivity, and access requirements evolve across Bronze, Silver, and Gold.
Experience implementing column masking, row-level security, and dynamic access controls.
Ability to reconcile competing requirements across stakeholders.
Strong SQL and Spark skills, with proficiency in defining pipeline configurations and data contracts declaratively in version-controlled, enforceable YAML artifacts.
Only U.S. citizens are eligible.
Ability to obtain and maintain a Public Trust or Suitability Determination is required.
Employees may handle Controlled Unclassified Information and must follow applicable safeguarding and compliance requirements.
Nice to have
Exposure to a cybersecurity environment.
Culture & Benefits
Remote position with occasional project, client, collaboration, or training travel communicated in advance when possible; travel is expected to be less than 10%.
Health care plan covering medical, dental, and vision.
401(k) retirement plan, life insurance, paid time off, family leave, and short- and long-term disability coverage.
Training and development opportunities.
Collaborative, inclusive workplace focused on professional growth and equal opportunity.
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 →