Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$135к-165к/год
$140к$150кмедиана$180к
По похожим ролям (49) ~ $150к/год
На СНГ рынке: $2.6к/мес ($1.9к - $3к)
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Обязанности описаны понятно, а стек востребован в инженерии данных, но работа в SCIF и действующий допуск заметно ограничивают круг тех, кому доступна эта вакансия.
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Нужен допускСовременный стекПонятные задачи
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (Databricks): Developing and maintaining secure data pipelines, ETL/ELT workflows, and analytics-ready datasets with an accent on Python, SQL, Spark, Databricks, and data quality. Focus on processing structured and unstructured data, supporting classified SCIF environments, and collaborating with technical and mission stakeholders.
Location: Washington, D.C.; onsite work in a SCIF is required. Candidates must be U.S. citizens with an active Secret security clearance and must be able to obtain and maintain higher-level clearances, including TS/SCI, when required by project assignment.
Salary: $135,000–$165,000 per year.
Company
hirify.global delivers adaptive technology solutions supporting national security and critical civilian missions.
What you will do
Develop and maintain secure data pipelines, ETL/ELT workflows, and analytics-ready datasets.
Process structured and unstructured data using Databricks, Spark, Palantir Foundry, Maven Smart Systems, or comparable platforms.
Support data transformations, validation, modeling, and data-quality practices.
Collaborate with data scientists, engineers, technical and nontechnical stakeholders, and mission teams.
Apply version control, testing, documentation, and Agile development practices.
Requirements
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.
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.
Active U.S. government security clearance and U.S. citizenship.
Ability to work onsite in a SCIF.
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 Department of Defense data environments and classified networks.
Prior Combatant Command support.
Solid Python and SQL skills with familiarity in JavaScript or TypeScript.
Culture & Benefits
Culture centered on happiness, support, honesty, humility, eagerness, and drive.
Collaborative environment emphasizing mutual respect, transparent communication, and shared success.
Work supports national security and critical civilian missions.
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