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3 дня назад

Data Engineer (Cybersecurity)

192 000 - 281 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineer (Cybersecurity): Building and operating production data integrations and pipelines for a mission-critical cyber operations platform with an accent on AWS Glue, PySpark, schema design, and restricted deployment environments. Focus on diagnosing production data issues, monitoring pipeline health with the LGTM stack, and designing reliable integrations for classified systems.

Location: On-site in New York City, United States. Initial onboarding requires approximately two weeks at the Arlington, Virginia office, followed by occasional travel there as needed.

Base salary: $192,000–$281,000 annually. Estimated total compensation: $281,000–$455,000, including target bonus and estimated equity value.

Company

hirify.global develops offensive cybersecurity software and data infrastructure for U.S. and allied cyber operations.

What you will do

  • Design, build, deploy, and operate data pipelines that retrieve, transform, and integrate data sources into production applications.
  • Develop AWS Glue jobs with PySpark, data schemas, analytical models, and integrations using ClickHouse and PostgreSQL.
  • Monitor pipeline health, data quality, throughput, and freshness using Grafana, Loki, Tempo, and Mimir.
  • Diagnose production incidents, perform root cause analysis, improve runbooks, and participate in PagerDuty on-call rotations.
  • Package and support integrations for restricted and air-gapped environments in collaboration with forward-deployed engineers.
  • Investigate undocumented data sources and turn operational insights into platform capabilities.

Requirements

  • 5+ years of experience in data engineering or software engineering with substantial data infrastructure experience.
  • Expert Python skills and experience maintaining production-grade codebases.
  • Hands-on experience with ETL/ELT pipelines using Spark or PySpark, ideally through AWS Glue.
  • Strong SQL, schema design, partitioning, indexing, and column-oriented database experience.
  • Experience debugging production data systems and operating independently under time pressure.
  • U.S. citizenship is required, and eligibility to obtain a U.S. Government security clearance is required; no active clearance is needed to start.

Nice to have

  • Experience with data lakes, large-scale query technologies, streaming systems, or message queues.
  • Experience with observability tools, air-gapped or classified environments, Docker, container orchestration, and CI/CD.
  • Experience with Apache Iceberg, Delta Lake, Trino, Presto, Athena, Kafka, NATS, Kinesis, or RabbitMQ.

Culture & Benefits

  • Hands-on ownership of production systems used by cyber operations teams.
  • Medical, dental, vision, life, disability, and AD&D coverage options.
  • Paid parental leave, paid holidays, and flexible PTO.
  • 401(k) plans with pre-tax and Roth options, plus HSA, FSA, and dependent care FSA options.
  • Work involving restricted environments requires disciplined security, documentation, and deployment practices.

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