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6 дней назад

Data Engineer (Databricks)

135 000 - 165 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Germany
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): Supports secure data pipelines, ETL/ELT workflows, and analytics-ready datasets using Python, SQL, Spark, and Databricks with an accent on data transformation, validation, and modeling. Focus on processing structured and unstructured data, integrating comparable data platforms, and maintaining reliable pipelines in classified SCIF environments.

Location: On-site in Stuttgart, Germany, at Patch Barracks or Kelley Barracks; must be able to work onsite in a SCIF. Candidates must be U.S. citizens with an active Secret security clearance and be able to obtain and maintain higher-level clearances, including TS/SCI, when required by assignment.

Salary: $135,000–$165,000 per year.

Company

hirify.global supports national security and critical civilian missions through secure technology integration and adaptive innovation.

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 partners.
  • 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.
  • 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.
  • Active U.S. government security clearance and U.S. citizenship.
  • Ability to work onsite in a SCIF in Stuttgart, Germany.

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 built around the 6Hs: Happy, Helpful, Honest, Humble, Hungry, and Hustle.
  • Emphasis on collaboration, mutual support, transparent communication, ethical conduct, and continuous improvement.
  • Focus on national security and critical civilian missions.

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