Senior Engineer- Roundel Data Solutions (Cyclone)

The pay range is $95,000.00 - $171,000.00

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

About us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

Use your skills, experience and talents to be a part of groundbreaking thinking and visionary goals. As a Sr. Engineer, you’ll take the lead as you…
Use your technology acumen to apply and maintain knowledge of current and emerging technologies within specialized area(s) of the technology domain. Evaluate new technologies and participate in decision-making, accounting for several factors such as viability within Target’s technical environment, maintainability, and cost of ownership. Initiate and execute research and proof-of-concept activities for new technologies. Manage total product, financials and forecasting. Lead the design, lifecycle management, and total cost of ownership of services. Lead and conduct code review, design review, testing, and debugging activities at the application level. Lead functional design and architecture discussions with understanding of process flows and system diagrams to enable design decisions. Participate in routine and non-routine construction, automation, and implementation activities, ensuring successful implementation with architectural and operational requirements and best practices met. Provide technical oversight and coach others to resolve complex and severe technical issues. Lead disaster recovery activities and contribute to disaster recovery planning. Embed data quality protocols throughout data acquisition, processing, storage, and operational use.

As a Senior Engineer, you serve as a specialist in the engineering team that supports the product. You help develop and gain insight in the application architecture. You can distill an abstract architecture into concrete design and influence the implementation. You show expertise in applying the appropriate software engineering patterns to build robust and scalable systems. You are an expert in programming and apply your skills in developing the product. You have the skills to design and implement the architecture on your own, but choose to influence your fellow engineers by proposing software designs, providing feedback on software designs and/or implementation. You show good problem-solving skills and can help the team in triaging operational issues. You leverage your expertise in eliminating repeat occurrences.
 

About this Team:

At Roundel, the Data Collaborations (Cyclone) team is at the forefront of building scalable, high-performance data systems that enable meaningful collaboration between Target and our partners. We work on complex, real-world engineering challenges - from large-scale API and data integrations to cloud-native system design - using modern JVM and Big Data technologies. You’ll join a team that values technical excellence, innovation, and impact at scale.

Responsibilities

• Design, develop, and maintain high-performance APIs and backend services using JVM languages (Java, Kotlin) and Spring Boot.
• Build and optimize microservices architectures that enable scalable, reliable, and secure integrations with internal platforms and external partners.
• Engineer data exchange and integration layers to support large-scale collaboration and interoperability across systems.
• Leverage Google Cloud Platform (GCP) services, including BigQuery, for distributed data processing and analytics workloads.
• Implement API design standards, authentication/authorization protocols (OAuth2, JWT), and ob