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52 минуты назад

Data Engineer (AI)

135 000 - 165 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US/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 (AI): Building 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 in classified SCIF environments, supporting data transformations, and integrating mission-focused analytics platforms.

Location: On-site at designated U.S. or Stuttgart, Germany locations; must be able to work in a SCIF.

Salary: $135,000–$165,000 per year

Company

hirify.global supports national security and critical civilian missions through advanced technology integration and data-driven solutions.

What you will do

  • Develop and maintain secure data pipelines and ETL/ELT workflows.
  • Build analytics-ready datasets from structured and unstructured data.
  • Process and transform data using Databricks, Spark, Palantir Foundry, Maven Smart Systems, or comparable platforms.
  • Apply data validation, modeling, testing, documentation, and data-quality practices.
  • Collaborate with data scientists, engineers, technical stakeholders, and mission stakeholders.

Requirements

  • U.S. citizenship and an active Secret security clearance are required; some assignments may require TS/SCI clearance.
  • On-site work in a SCIF is required.
  • Bachelor’s degree in computer science, data science, engineering, information systems, mathematics, or a related technical field, or an equivalent combination of education and experience.
  • 3+ years of relevant experience in data engineering, software development, data analytics, or enterprise platforms.
  • Experience with Python, ETL/ELT pipelines, data transformations, data validation, data modeling, and data-quality practices.
  • Familiarity with SQL, Spark or PySpark, Databricks, version control, testing, documentation, and Agile development.

Nice to have

  • Experience with Palantir Foundry, Maven Smart Systems, or War Data Platform.
  • Exposure to Docker, CI/CD, MLflow, APIs, Terraform, AWS, or Azure.
  • Familiarity with Department of Defense data environments, classified networks, or Combatant Command support.
  • Experience with JavaScript or TypeScript.

Culture & Benefits

  • Culture centered on happiness, helpfulness, honesty, humility, eagerness, and a strong work ethic.
  • Emphasis on collaboration, mutual respect, transparent communication, and continuous improvement.
  • Work supporting national security and critical civilian missions.

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