Senior Engineer , Merchandise Planning

Design, build, and operate data integration platforms connecting the SaaS planning application with Nordstrom systems, data warehouse, and downstream consumers

Build and maintain batch and orchestrated pipelines using Airflow, Python, and Spark

Enable, configure, and extend SaaS platforms for Merchandise Planning, Assortment Planning, Item Planning, and Forecasting workflows

Partner with vendors and business stakeholders to translate planning requirements into technical solutions and configurations

Develop curated datasets, semantic models in Big Query, and reporting in Looker

Collaborate with engineering teams, business stakeholders, and program and product managers across Merchandising, Planning, Finance, and Supply Chain

Own data quality, reconciliation, observability, monitoring, alerting, and validation

Contribute to CI, CD, cloud migration, test-driven development, and AI-enabled software development practices

Champion AI-assisted development across intake, development, code review, and testing

Design, develop, evaluate, and ship AI agents with observability and human-in-the-loop guardrails

Assist engineering managers with software and data strategies and solutions

Own systems or designs spanning multiple people's work and break work into tasks for junior engineers

Apply industry trends, corporate policies, and best practices to applications

Transition systems from development to support, participate in rotating 24/7 support shifts, and deliver production enhancements and bug fixes

• Bachelor's or master's degree in an engineering discipline, preferably computer science, or equivalent
• 8+ years of professional experience delivering quality software, with a strong focus on data and integration engineering
• Strong proficiency building batch and orchestrated pipelines with Apache Airflow, Python, and Apache Spark
• Proficiency with Big Query or a comparable cloud data warehouse
• Strong SQL and data modeling skills
• Experience designing, developing, and consuming RESTful APIs and integrating third-party and SaaS applications
• Experience enabling, implementing, or integrating enterprise SaaS planning or supply chain platforms such as Toolio, O9, Anaplan, Blue Yonder, or similar
• Analytics and reporting experience, ideally in Looker or a comparable BI platform
• Familiarity with CI/CD pipelines, Docker, cloud services (GCP, AWS, or Azure), and deployment best practices
• Practical experience with AI-assisted software development using AI coding tools such as Claude, Claude Code, or Git Hub Copilot
• Proficiency with relational databases such as PostgreSQL and MySQL; familiarity with MongoDB and Redis
• Strong analytical, troubleshooting, and debugging skills
• Experience working in Agile/Scrum environments with cross-functional teams
• Experience with system design, architecture, scaling, and performance testing for data-intensive systems
• Strong understanding of computer science fundamentals
• Domain knowledge of merchandise planning, assortment planning, item planning, or demand forecasting is a strong plus
• Willingness to work onsite at the Nordstrom Seattle office a minimum of 4 days/week

Demonstrates expertise in building and maintaining data integration platforms, with strong proficiency in batch and orchestrated pipelines using Airflow, Python, and Spark. Possesses a solid understanding of SaaS planning applications and data warehousing, along with experience in AI-assisted software development and analytics.

• Data Integration Engineering
• Batch And Orchestrated Pipelines
• Big Query And SQL Proficiency
• AI-Assisted Software Development
• SaaS Planning Platform Integration

• Python
• Apache Airflow
• Apache Spark
• Big Query
• SQL
• RESTful APIs
• Data Modeling
• Analytics And Reporting
• CI/CD Pipelines
• System Design

• Analytical Skills
• Troubleshooting
• Collaboration
• Communication
• Agile/Scrum Experience

• Merchandise Planning
• Assortment Planning
• Item Planning
• Demand Forecasting
• Supply Chain

• Looker
• Docker
• GCP
• AWS
• Azure
• PostgreSQL
• MySQL
• MongoDB
• Redis
• AI Coding Tools