Summary
As a Senior Engineer 2 on the Merchandise Planning team, you will design, build, and operate data integrations for Nordstrom's SaaS planning platform. You will develop analytics and reporting, improve data quality, and help deliver AI-enabled solutions that support planning and forecasting.
Responsibilities
- Build and operate batch and orchestrated data pipelines using Airflow, Python, and Spark.
- Enable and extend the SaaS planning platform and develop curated datasets, semantic models, and Looker reporting.
- Own data quality, reconciliation, monitoring, and observability across integrations.
- Collaborate with engineering teams and business stakeholders, guide technical decisions, and support production systems.
- Adopt AI-enabled development practices and design, ship, and evaluate AI agents with appropriate safeguards.
Requirements
- Bachelor's or master's degree in an engineering discipline or equivalent experience.
- 8+ years of professional software delivery experience, with a strong focus on data and integration engineering.
- Experience with Airflow, Python, Spark, BigQuery or a comparable data warehouse, SQL, data modeling, APIs, and SaaS integrations.
- Experience with analytics and reporting, CI/CD, cloud services, relational databases, and AI-assisted software development.
- Strong system design, troubleshooting, communication, and cross-functional collaboration skills.
- Merchandise planning, assortment planning, item planning, or demand forecasting experience is a plus.
