Sr Engineer - Finance Technology

Target•Minneapolis, MN

1d•Hybrid

About The Position

The Finance Technology teams are responsible for implementing, scaling and maintaining applications that help Target’s Finance ecosystem and maintain accurate financial results. As a part of this team you will be helping to design and develop critical applications that support real-time processing of financial data across Target.com, stores, supply chain and backend financial systems. We support hundreds of millions of transactions every day. You will have opportunity to work on challenging projects and build highly scalable web applications and services along with supporting current integrations to stabilize production environment in Finance’s technology landscape. The Inventory Valuation and Gross Margin team builds and maintains applications that enable accurate financial results across Target’s enterprise ecosystem. Our systems support high-volume, real-time processing of financial data across digital, store, supply chain, and backend finance platforms. The team is focused on modernizing legacy platforms, strengthening financial controls, improving scalability, and ensuring operational resilience in a distributed technology environment. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

Requirements

4 year degree or equivalent experience
5+ years of software development experience
Demonstrates strong domain-specific knowledge regarding Target’s technology capabilities, and key competitors’ products and differentiating features
Working knowledge on package-specific configuration and deployment along with ability to build custom solutions
Designs new testing methods and resolves routine and non-routine technical issues with minimal assistance
Demonstrates strong proficiency in core development platforms within own domain
Builds strong commitment within the team to support the appropriate team priorities
Clearly communicates Agile concepts to partners within product team
Demonstrates a solid understanding of the impact of own work on the team and/or guests
Writes and organizes code using multiple computer languages, including distributed programming and understand different frameworks and paradigm
Delivers high-performance, scalable, repeatable, and secure deliverables with broad impact (high throughput and low latency)
Influences and applies data standards, policies, and procedures
Maintains technical knowledge within areas of expertise
Stays current with new and evolving technologies via formal training and self-directed education

Nice To Haves

Languages: Java, Kotlin, or similar object-oriented programming languages.
Frameworks: Spring Boot or similar backend frameworks; exposure to modern frontend technologies is a plus.
Data Movement: Kafka or similar messaging systems.
Understanding of distributed systems and scalable application design.
Knowledge of storage, caching, and CI/CD practices.
Familiarity with AI-assisted development tools or coding agents to support development efficiency and test coverage.
Awareness of responsible AI usage practices, including validation of generated outputs and data security considerations.

Responsibilities

Participate in team ceremonies such as daily stand-ups and sprint planning.
Engage with product and partners to deepen domain knowledge.
Own feature development end-to-end, from design and testing to production support.
Design and implement testable, supportable, and scalable solutions.
Writing clean, maintainable, and secure code aligned with architectural standards.
Contribute to code reviews and design reviews to maintain quality and consistency.
Support operational stability and resolving production issues with minimal oversight.
Assist with evaluation of new technologies and contributing to research and proof-of-concept initiatives.
Leverage automation and modern engineering tools, including AI-assisted development tools where appropriate, to improve productivity, code quality, and documentation.
Apply sound engineering judgment to validate AI-assisted outputs, ensuring correctness, security, compliance, and financial data integrity.