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Описание вакансии
Текст:
Hirify AI/Оригинал
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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