Engineer II

Nordstrom

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$121,500–$188,500 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $160k
This role $155k
$100k most similar roles pay here $212k

This role pays more than 57% of similar roles. Most pay $119,500–$201,425 — the shaded band above. At the midpoint, this role pays about $155k versus about $160k for comparable roles.

Based on 240 similar postings.

Employer

About Nordstrom

Nordstrom is a leading American luxury department store chain offering a wide selection of clothing, shoes, accessories, and beauty products through its stores, Nordstrom Rack outlets, and online. Industry: Luxury Department Store Retail

Nordstrom currently has 34 open roles on FindRole.

Listed pay typically runs $142,000–$220,500 across 33 roles with salary data.

Most-posted roles

View all roles at Nordstrom

At a glance

TL;DR · Engineer II

As an Engineer 2 on the Product Information Management team, you will join a group responsible for the core data pipeline powering the product catalog by collecting, validating, and publishing high-quality information to downstream systems in near real-time. You will design and develop scalable microservices, distributed applications, and database solutions while performing code reviews and building testing tools and CI/CD pipelines. The role requires proficiency in Java, SQL, NoSQL databases, Spring Boot, Kafka, Kubernetes, Docker, New Relic, and cloud environments like AWS or GCP. You will also integrate AI tools into the engineering lifecycle to optimize performance. This position focuses on solving complex data problems within a retail environment, specifically managing merchandising systems and ensuring accurate product information is available for business users to make informed decisions about inventory and descriptions.

What does a Engineer earn in Washington?

Median $172500 from 39 postings across 12 companies.

See salary data

What you'll do

  • Design and develop scalable microservices and distributed applications using modern technologies.
  • Build and maintain data pipelines to provide accurate product information to downstream systems.
  • Create data solutions tailored to specific business needs and requirements from various internal teams.
  • Conduct code reviews and enforce high standards for software engineering principles.
  • Develop testing tools and CI/CD pipelines to reduce automation friction.
  • Identify and resolve data performance issues while optimizing existing solutions.
  • Provide on-call support to resolve production incidents and system issues.
  • Monitor system health through logging dashboards and proactive alert management.

What we're looking for

  • Bachelor's or master's degree in computer science, Engineering, or equivalent practical experience.
  • 3+ years of experience in at least one modern programming language such as Java.
  • 3+ years of experience with SQL and NoSQL databases, data modeling, and automated engineering solutions.
  • Experience with Spring Boot, Kafka, Kubernetes, Docker, and New Relic.
  • Experience with AI tools and a track record of weaving them into the engineering lifecycle.
  • Experience in cloud environments such as AWS or GCP.
  • Experience developing near real-time distributed data processing solutions using Kafka.
  • Experience in scalable distributed systems, service-oriented and event-driven streaming architecture.

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