Engineer 2

Nordstrom

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $121,500–$188,500 / yr
Posted: 10 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $154k

This role $155k

$107k most similar roles pay here $201k

This role pays less than 51% of similar roles. Most pay $116,000–$191,625 — the shaded band above. At the midpoint, this role pays about $155k versus about $154k for comparable roles.

Based on 239 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 37 open roles on FindRole.

Listed pay typically runs $142,000–$220,500 across 37 roles with salary data.

Most-posted roles

View all roles at Nordstrom

At a glance

TL;DR · Engineer 2

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As an Engineer 2 on the Integrated Merchandising team, you will design and develop robust data integrations between Nordstrom's internal platform and external systems like Toolio, focusing on reducing maintenance overhead. Your daily tasks include building scalable APIs, enhancing data pipelines using Airflow, BigQuery, and Kafka, and ensuring secure coding practices while adhering to Nordstrom’s engineering standards. You’ll collaborate with cross-functional teams to deliver solutions that support the deprecation of legacy planning applications, aiming for significant cost savings and improved operational efficiency. This role requires expertise in Java, Python, or Kotlin, RESTful/GraphQL services, cloud-scale data warehousing, streaming technologies like Kafka, and Kubernetes-based microservices architecture.

Skills

Python Java Kubernetes Terraform Airflow BigQuery Kafka RESTful GraphQL Node.js TypeScript PostgreSQL NoSQL CI/CD Git Agile AWS Google Cloud

What you'll do

Design and develop robust data integrations between IM data platform and external systems like Toolio.
Build and maintain high-performant APIs and critical software services for both internal and vendor entities.
Enhance data pipelines on Airflow, BigQuery, Kafka stack ensuring reliability and performance efficiency.
Identify and resolve performance bottlenecks in system architecture to ensure optimal operation.
Apply secure coding practices and analyze defects to prevent recurrence of security issues.

What we're looking for

2+ years of professional software development experience
Strong in object-oriented languages (Java, Python, Kotlin)
Experience with RESTful/GraphQL services and Node.js/TypeScript
Expertise in building data pipelines and message-oriented architectures
Knowledge of cloud-scale data warehousing and SQL optimization
Proficiency with streaming technologies like Kafka and event-driven design
Background in designing scalable microservices on Kubernetes