Senior Engineer 2, Merchandise Planning - (Hrbrid, Seattle)
Core
Design, build, and operate data integration pipelines and AI agents for a SaaS-based merchandise planning platform to unify planning, assortment, and demand forecasting.
Role type
Senior Data & Integration Engineer (AI-enabled)
Builds
Data integration platform, batch/orchestrated pipelines, AI agents, analytics dashboards
Domain
Retail Merchandise Planning, Data Engineering, AI/ML
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline engineering (Airflow, Python, Spark), Cloud data warehousing (BigQuery), SQL & data modeling, API integration, SaaS planning platform integration, DevOps (CI/CD, Docker, Cloud), AI-assisted development, Relational/NoSQL databases
Preferred skills
Merchandise planning domain knowledge, Fashion retail experience
Technologies
Airflow, Python, Spark, BigQuery, Looker, PostgreSQL, MySQL, MongoDB, Redis, GCP, AWS, Azure, Claude, GitHub Copilot
Responsibilities
Design and build data integration pipelines connecting planning platform to enterprise systems; Develop and ship AI agents to automate planning workflows; Build curated datasets and semantic models for analytics; Enable and configure SaaS planning platform; Own data quality, reconciliation, and observability; Collaborate with stakeholders on technical decisions and priorities
Seniority
Senior, hands-on IC with team ownership
