Senior Engineer, Payment Data Services — Hybrid & Impactful

Target

Brooklyn Park (MN)

Hybrid

USD 98,000 - 176,000

Full time

5 days ago
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Benefits offered by this job

Health benefits
401(k)

Job summary

Target is seeking a Senior Engineer for Payment Data Services to architect, implement, and optimize data pipelines and APIs across a payments ecosystem. You will influence design decisions, ensure reliability, and mentor teammates while collaborating with cross-functional partners in the U.S.

The role requires 5+ years of software development experience with Java or Kotlin, and familiarity with microservices, Kafka, and data processing.

Qualifications

  • Four-year degree or equivalent experience.
  • 5+ years of software development experience, including Java or Kotlin.
  • Experience developing APIs, Kafka, RDBMS & No-SQL data modelling and ETL pipelines for payments orchestration.
  • Familiarity with AI tools such as LLMs, agentic AI, and MCP.
  • Ability to work independently with cross-functional partners across geographies.

Responsibilities

  • Lead code reviews, design reviews, testing, and bug fixing at the application level.
  • Design and build reliable APIs and data pipelines for analytics.
  • Provide technical oversight and coach others through complex issues.
  • Collaborate with U.S.-based payments teams and partners to drive shared solutions.
  • Explore emerging technologies including AI tools to improve workflows.

Skills

Kotlin
Java
APIs
Kafka
Microservices
Data pipelines
Distributed systems
LLMs

Education

Bachelor's degree in Computer Science or equivalent

Tools

Micronaut
Relational databases
NoSQL
ETL pipelines

Job description

Target is seeking a Senior Engineer for Payment Data Services to architect, implement, and optimize data pipelines and APIs across a payments ecosystem. You will influence design decisions, ensure reliability, and mentor teammates while collaborating with cross-functional partners in the U.S.

The role requires 5+ years of software development experience with Java or Kotlin, and familiarity with microservices, Kafka, and data processing.

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