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Trend Micro

Global cybersecurity solutions with threat intelligence

Senior Data Engineer

Data EngineeringUpdated on Nov 12
Full-timeAustin, TX, USANo salary listed

About the Job

Requirements

  • At least 5 years of experience in data engineering, platform engineering, or related fields.
  • Strong experience building large-scale distributed data systems.
  • Proficiency in Python and SQL.
  • Experience with modern data platforms such as Apache Spark, Apache Kafka, Apache Flink, Airflow, and Databricks.
  • Experience designing and operating ETL/ELT pipelines at scale.
  • Strong understanding of data modeling and schema design.
  • Experience working with cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with REST APIs and event-driven architectures.

Responsibilities

  • Design and develop scalable pipelines that transform product-specific data models into a canonical ontology.
  • Build data ingestion frameworks for security telemetry, alerts, incidents, asset inventories, cloud resources, and identity systems.
  • Implement schema mapping and transformation processes between product databases and ontology entities.
  • Develop entity resolution and deduplication mechanisms across multiple security products.
  • Ensure data quality, lineage, consistency, and governance throughout the knowledge lifecycle.
  • Partner with product teams to onboard new security products into the ontology ecosystem.
  • Design reusable integration patterns and semantic contracts for product teams.
  • Build APIs, connectors, and streaming pipelines that publish product data into the ontology platform.
  • Drive standardization of cross-product data models and relationships.
  • Model entities and relationships that support graph-based reasoning.
  • Optimize graph ingestion and enrichment workflows.
  • Support creation of attack paths, asset relationships, risk models, and contextual security views.
  • Collaborate with ontology architects to evolve the platform's semantic model.
  • Build highly scalable distributed data pipelines processing billions of security events.
  • Develop observability, monitoring, and quality validation frameworks.
  • Implement batch and real-time data processing architectures.
  • Drive performance optimization, scalability, and reliability of ontology ingestion systems.
  • Enable AI agents to consume structured security knowledge through ontology APIs.
  • Contribute to data products that support agent reasoning, investigation, and automation.
  • Build enrichment pipelines that improve context available to autonomous security workflows.

Desired Qualifications

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

About the Company

Trend Micro

Global cybersecurity solutions with threat intelligence

Trend Micro provides cybersecurity solutions for businesses, protecting against digital threats across industries. Its products monitor networks, endpoints, and cloud environments to detect and block attacks, using AI and big data to analyze threats; customers access protections via software licenses and cloud security services, with optional managed services and consulting. The company differentiates itself with a broad enterprise-focused portfolio that combines threat intelligence, APT defense, ransomware protection, cloud security, and managed services backed by large-scale data analysis. Its goal is to help organizations reduce risk and stay ahead of evolving cyber threats by delivering integrated security across on-premises, cloud, and hybrid environments.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1988

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