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Senior Engineer , Merchandise Planning Hybrid, Seattle

Job in Seattle, King County, Washington, 98127, USA
Listing for: Nordstrom
Full Time position
Listed on 2026-07-23
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 166000 - 258000 USD Yearly USD 166000.00 258000.00 YEAR
Job Description & How to Apply Below
Position: Senior Engineer 2, Merchandise Planning - (Hybrid, Seattle)

Job Description

NOTE:

This position is offered as a hybrid role in the Seattle, WA area. You must be willing to work onsite at the Nordstrom Seattle office a minimum of 4 days/week in order to be considered for this position.

As a Senior Engineer 2, you'll be part of a key team of Nordstrom Technology professionals who apply scientific, mathematical, and social principles to design, build, and maintain technology products, systems, and solutions which provide amazing customer experiences while meeting the needs of the business. At this level, you are responsible for the quality of a team's work, ensuring that all designs are clear and complete for successful execution.

You undertake complex design and problem-solving without supervision.

About Merchandise Planning

We implement and modernize the platforms that power how Nordstrom plans its business across Merchandise (Financial) Planning, Assortment Planning, Item Planning, and Demand Forecasting. We are enabling a SaaS-based planning platform that unifies merchandise planning, open-to-buy, assortment, and allocation so that merchants, planners, and finance can plan using AI-driven demand forecasting. This platform depends on a robust data integration layer that moves data in and out of the application reliably and at scale, and on analytics and reporting that turn planning data into decisions.

As a Senior Engineer 2 on the Merchandise Planning team, you will be instrumental in realizing this vision. You will own the quality of a team's work, focusing primarily on data and integration engineering — designing, building, and operating the pipelines that connect the planning platform to Nordstrom's enterprise systems, data warehouse, and downstream consumers. You will enable and extend the SaaS planning application, build and maintain the data integration platform that supports data flowing in and out of it, and develop analytics and reporting that support planning and forecasting decisions.

You will also help set the team's AI direction by adopting AI-enabled software development in your everyday workflow and by designing and shipping AI agents that automate and augment the planning and data workflow.

A day in the life
  • Develop innovative solutions to drive Nordstrom's business, demonstrating competence in engineering concepts and theories and combining them with business understanding to design, document, and implement clean, robust, and scalable data and integration solutions to complex planning and forecasting problems.
  • Design, build, and operate the data integration platform that moves data in and out of the SaaS planning application, building and maintaining batch and orchestrated pipelines using Airflow, Python, and Spark to integrate with Nordstrom systems.
  • Enable, configure, and extend the SaaS planning platform to support Merchandise Planning, Assortment Planning, Item Planning, and Forecasting workflows, partnering closely with the vendor and business to translate planning requirements into reliable technical solutions and configurations.
  • Develop analytics and reporting on top of the planning data — building curated datasets and semantic models in Big Query and delivering reporting in Looker to support planning, forecasting, and adoption insights.
  • Collaborate with other engineering teams, business stakeholders and program and product managers across Merchandising, Planning, Finance, and Supply Chain to make technical decisions and influence priorities and trade-offs that achieve short- and long-term business objectives.
  • Own data quality, reconciliation and observability for the integration platform, building monitoring, alerting and validation so that data between systems is timely, accurate, and trusted.
  • Contribute toward moving the team forward in engineering practices such as continuous integration, continuous delivery, cloud migration, test-driven development, and AI-enabled software development.
  • Champion an AI-enabled approach to software development throughout the development process — from intake and development to code review and testing — to accelerate velocity, raise the quality bar, and help more junior engineers adopt these tools…
Position Requirements
10+ Years work experience
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