Senior Engineer 2, Merchandise Planning

Jobtailor

Seattle (WA)

On-site

USD 140,000 - 190,000

Full time

8 days ago

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Job summary

Nordstrom is seeking a senior data integration engineer to design, build, and operate data integration platforms connecting the SaaS planning application with Nordstrom systems, data warehouse, and downstream consumers.

You will develop batch and orchestrated pipelines using Airflow, Python, and Spark, enable SaaS platforms for planning workflows, and collaborate across Merchandising, Planning, Finance, and Supply Chain.

Qualifications

Bachelor's or master's degree in engineering, preferably computer science, or equivalent.
8+ years of professional experience delivering quality software with a focus on data and integration engineering.
Strong proficiency building batch and orchestrated pipelines with Apache Airflow, Python, and Apache Spark.
Proficiency with BigQuery 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 GitHub 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.

Responsibilities

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 BigQuery, 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.

Skills

Data integration

Airflow

Python

Apache Spark

BigQuery

SQL

RESTful APIs

CI/CD

Docker

Cloud platforms

Education

Bachelor's or master's degree in engineering (CS preferred)

Tools

Looker

Docker

GCP

AWS

Azure

PostgreSQL

MySQL

MongoDB

Redis

AI coding tools

Job description

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 BigQuery, 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

Requirements

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 BigQuery 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 GitHub 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

Core Competencies

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.

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