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2 дня назад

Data Engineer (Databricks)

135 000 - 165 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
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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