Senior Full Stack Software Engineer - Catalogs, Hierarchy & OrgMDM (Hybrid - Seattle, WA)

Nordstrom•Seattle, WA

11d•Hybrid

About The Position

Nordstrom's Product Information Management organization is the backbone of how millions of products are represented, organized, and discovered across every Nordstrom channel — from Nordstrom.com, NordstromRack.com and the Nordstrom apps to in-store systems and marketplace partner integrations. Within PIM, the Catalogs, Hierarchy & Org MDM team owns the foundational data structures that make this possible: the product catalogs customers browse, the merchandising hierarchies that power navigation and reporting, and the Organization Master Data Management (MDM) platform that governs how store and organizational entities are maintained across the enterprise. This is a rare opportunity to work at the intersection of large-scale data architecture and customer-facing impact. Every product page a customer sees, every filter they apply, and every category they navigate depends on the systems you will build and evolve. This role is offered as hybrid in Seattle, WA. Candidates must be available to work in office at the Nordstrom corporate headquarters a minimum of 4 days/week to be considered for this position.

Requirements

7+ years of professional software engineering experience, including significant delivery of both backend services and frontend applications.
Bachelor’s or Master’s degree in Computer Science, Information Systems Engineering, Data Engineering.
Strong verbal, written and diagramming communication skills, with the ability to explain technical concepts clearly to both technical and non-technical stakeholders.
Proficient in more than one Programming Language.
Experience with agentic development and perspective on how to get the most from agents during the Software Development Lifecycle.
Strong backend fundamentals: comfortable designing and building microservices in Java or Kotlin, working with relational databases (PostgreSQL), and integrating with event-driven architectures (Kafka).
Modern frontend skills: experience building production React applications with TypeScript, caring about usability, accessibility, and creating tools that people enjoy.
Infrastructure fluency: comfortable working with containerized deployments (Docker, Kubernetes), defining infrastructure as code with Terraform, and configuring CI/CD pipelines.
Distributed systems thinking: understanding tradeoffs of eventual consistency, reasoning about failure modes in a service-oriented architecture, and having data-driven perspectives on topics like idempotency, schema evolution, and data partitioning.
Ownership mentality: doing more than writing code, owning outcomes, thinking about observability from the start, writing runbooks, and showing up when systems need you.
Collaborative and communicative: thriving in cross-functional environments, explaining technical tradeoffs, pairing with junior engineers, and contributing to architectural discussions.
Bias toward simplification: actively seeking ways to reduce complexity, remove bottlenecks, and make systems easier to operate and evolve.

Nice To Haves

Experience with workflow orchestration tools like Temporal is a strong plus.
Experience with master data management (MDM) concepts or enterprise data governance
Familiarity with product information management or retail/e-commerce domains
Background in entity resolution, canonicalization, or data quality systems
Experience with Temporal.io or similar durable execution frameworks
Contributions to engineering standards, shared libraries, or developer experience tooling

Responsibilities

Design, build, and operate services and user interfaces that are central to Nordstrom's product data ecosystem.
Work across the entire stack — from React-based internal tools used by merchants and data stewards to Java microservices that process millions of catalog and hierarchy records daily.
Build and evolve core platform services, owning microservices that power catalog management, hierarchical classification, and organizational master data.
Integrate with upstream ingestion pipelines (including Kafka-based event streaming and Temporal workflow orchestration) and serve downstream consumers across the company.
Design delightful internal tools, creating React-based applications that make complex data operations intuitive and efficient.
Drive data quality at scale by building validation, canonicalization, and entity resolution capabilities.
Ensure data consistency across Nordstrom's product ecosystem — spanning wholesale, marketplace, and direct-to-consumer channels.
Own what you ship, participating in on-call rotations, building observability into every service, and driving operational excellence.
Influence technical direction by contributing to architecture decisions, participating in design reviews, and mentoring engineers.
Consider upstream and downstream integration points and balance short-term delivery with long-term platform health in designs.