Senior Threat Detection Engineer - AI for Fraud (Hybrid)

Target (old)

Brooklyn Park (MN)

Hybrid

USD 98,000 - 176,000

Full time

14 days+

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Benefits offered by this job

Health benefits
401(k)
Employee discounts
Paid time off

Job summary

Target is hiring a Senior Engineer in Threat Detection Engineering for a hybrid role in Brooklyn Park, MN. You will design and implement scalable detection tools, integrate AI/automation to streamline investigations, and collaborate with cross-functional teams to surface actionable insights while maintaining investigator focus.

Ideal candidates have 5+ years in security or threat detection, strong experience with Kotlin/Java, Kafka, SQL/NoSQL, and React, and excellent analytical and

Qualifications

  • 5+ years of professional experience in threat detection or related security role.
  • Experience with Kotlin/Java, Kafka, SQL/NoSQL databases, and React.
  • Strong analytical and problem-solving skills; excellent written and verbal communication.

Responsibilities

  • Develop and maintain threat detection tooling and workflows.
  • Leverage AI and automation to reduce manual work for investigators.
  • Collaborate with engineers, analysts and investigators to deploy production-ready solutions.
  • Build scalable, reliable data pipelines and dashboards for investigations.

Skills

Kotlin/Java
Kafka
SQL/NoSQL databases
React UI development
LLM coding assistants
Threat detection
Analytical skills
Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

Spring Boot
Gradle

Job description

Target is hiring a Senior Engineer in Threat Detection Engineering for a hybrid role in Brooklyn Park, MN. You will design and implement scalable detection tools, integrate AI/automation to streamline investigations, and collaborate with cross-functional teams to surface actionable insights while maintaining investigator focus.

Ideal candidates have 5+ years in security or threat detection, strong experience with Kotlin/Java, Kafka, SQL/NoSQL, and React, and excellent analytical and

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