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обновлено 8 дней назад

Senior Data Engineer (Cybersecurity)

Формат работы
hybrid
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
Senior Data Engineer (Cybersecurity): Building large-scale ingestion pipelines, semantic mapping frameworks, knowledge graph integrations, and AI-enabling data products for a unified security intelligence platform with an accent on ontology modeling, entity resolution, and distributed data processing. Focus on designing batch and real-time pipelines for billions of security events, connecting siloed security data, and enabling AI agents to reason over structured cybersecurity knowledge.

Location: Hybrid in Austin, TX, with in-office presence required three days per week

Company

TrendAI™, hirify.global’s AI security business unit, is building an AI-native security platform that unifies security data through shared ontologies and knowledge graphs.

What you will do

  • Design scalable pipelines that transform product-specific security data into a canonical ontology.
  • Build ingestion frameworks for telemetry, alerts, incidents, assets, cloud resources, and identity systems.
  • Develop schema mapping, entity resolution, deduplication, data quality, lineage, and governance capabilities.
  • Build APIs, connectors, and streaming pipelines that integrate security products into the ontology platform.
  • Model entities and relationships for attack paths, risk models, asset relationships, and contextual security views.
  • Develop distributed batch and real-time pipelines, observability frameworks, and enrichment workflows for AI agents and autonomous security operations.

Requirements

  • Hybrid work in Austin, TX with three days per week in the office.
  • 5+ years of experience in data engineering, platform engineering, or a related field.
  • Experience building and operating large-scale distributed data systems and ETL/ELT pipelines.
  • Proficiency in Python and SQL, with strong data modeling and schema design skills.
  • Experience with Apache Spark, Apache Kafka, Apache Flink, Airflow, or Databricks.
  • Experience with cloud platforms such as AWS, Azure, or GCP, plus REST APIs and event-driven architectures.

Nice to have

  • Experience with graph databases or knowledge graph technologies such as Neo4j, Amazon Neptune, or JanusGraph.
  • Experience with ontology modeling, semantic technologies, or entity resolution systems.
  • Cybersecurity experience across endpoint, cloud, identity, network, or SIEM platforms.
  • Experience building data products for AI, machine learning, or agentic systems.
  • Experience operating large-scale streaming architectures and graph analytics.

Culture & Benefits

  • Medical, dental, and vision insurance, plus life and disability insurance.
  • Pre-partum, maternity, parental, and medical leave, along with adoption assistance.
  • Mental health wellness support, wellness incentives, and pet insurance.
  • 401(k) with company match, paid time off, and 14 annual holidays.
  • Tuition assistance, employee resource groups, ongoing learning, and bonus opportunity tied to company performance.

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