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1 день назад

Data Engineer (AI/CYBERCOM)

120 000 - 150 000$
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 (AI/CYBERCOM) (AI/data engineering): Designing and deploying scalable AI-enabled data solutions, pipelines, preprocessing workflows, and machine learning services for secure Department of Defense environments with an accent on data engineering, applied machine learning, and cloud-based platforms. Focus on building reproducible pipelines, deploying models in containerized environments, and supporting mission-critical decision tools at Combatant Commands.

Location: Fort Meade, Maryland, United States; fully onsite at a SCIF.

Salary: $120,000–$150,000 per year.

Company

hirify.global develops and integrates advanced technologies for national security and critical civilian missions.

What you will do

  • Design, develop, and operationally deploy scalable AI-enabled data solutions for the Department of Defense’s CDAO ADA IR program.
  • Build data pipelines, preprocessing workflows, feature engineering strategies, and machine learning services.
  • Deploy solutions in secure, containerized environments supporting Combatant Commands.
  • Collaborate with product managers, full-stack developers, platform engineers, and mission stakeholders to turn raw data into insights and decision-support tools.
  • Apply reproducibility, testing, and continuous delivery practices in an agile environment.

Requirements

  • Must hold an active Top Secret clearance and be able to work onsite at a SCIF.
  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent relevant work experience; a master’s degree is preferred.
  • At least 3 years of data engineering or software engineering experience, including designing and managing complex data pipelines; each year of relevant work experience may substitute for a year of required education.
  • Experience with data visualization and storytelling using tools such as Palantir’s MSS Workshop and Slate applications.

Nice to have

  • 4+ years of experience in applied data science, Palantir Foundry development, or data pipeline development.
  • Proficiency in Python, SQL, and distributed data frameworks such as Spark, Databricks, or PySpark.
  • Experience developing machine learning models from training through deployment using scikit-learn, TensorFlow, or XGBoost.
  • Familiarity with MLOps, API development, and secure cloud environments such as AWS, Azure, or Palantir Foundry.
  • Understanding of data validation, model testing, and performance evaluation techniques.
  • Strong technical communication skills and the ability to explain complex concepts to non-technical audiences.

Culture & Benefits

  • Regular, full-time employment with onsite work requirements.
  • Health, life, disability, retirement, paid time off, and holiday pay benefits, depending on position.
  • Learning and development opportunities.
  • Culture centered on collaboration, integrity, humility, continuous improvement, and mission-driven work.

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