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1 день назад

Senior Data Engineer (Cybersecurity)

144 000 - 187 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Data Engineer (Cybersecurity): Leading the architectural transformation of data systems to support identity threat protection with an accent on modernizing data platforms using Databricks and AWS. Focus on building scalable, high-quality data pipelines for ML and LLM applications while ensuring system reliability and performance.

Location: Austin, Texas (Hybrid/Remote-friendly options available for US and UK based candidates).

Salary: $144,000 – $187,000

Company

hirify.global is a cybersecurity company that disrupts the criminal underground by transforming recaptured darknet data to protect identities and thwart cyberattacks.

What you will do

  • Redesign and modernize data architecture for scalability, performance, and AI-readiness.
  • Build and optimize real-time and batch data pipelines using AWS tools.
  • Design systems to prepare and serve high-quality data for ML models and LLM applications.
  • Optimize cost and performance of data ingestion, transformation, and storage workflows.
  • Guide and mentor data engineers, championing best practices and technical excellence.
  • Lead long-term data architecture planning aligned with company and AI-driven goals.

Requirements

  • 8+ years of experience in data engineering or closely related disciplines.
  • 2+ years in a technical leadership or senior engineering role.
  • Experience building and operating Lakehouse, Databricks, or large-scale distributed data lake architectures in AWS.
  • Strong development skills in Python, especially in building data-intensive systems.
  • Hands-on experience preparing and managing data for machine learning and LLM workflows.
  • Must be authorized to work in the US or UK (no visa sponsorship provided).

Nice to have

  • Familiarity with AI/ML tools such as SageMaker, LangChain, or vector databases.
  • Understanding of data governance, privacy, and compliance in AI contexts.
  • Experience with Go or C programming languages.
  • Experience with password cracking tools.

Culture & Benefits

  • Comprehensive health, vision, and dental insurance with HSA options.
  • 401(k) or retirement savings plan with employer contribution.
  • Employer-paid life and disability insurance.
  • Generous PTO plan and paid holidays.
  • Flexible and remote-friendly work options.

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