Real-time Data Platform Engineer

Nordstrom; Seattle (WA); On-site; USD 122,000 - 189,000; Full time

Benefits offered by this job

Medical/Vision, Dental, Retirement and

Paid Time Away

Life Insurance and Disability

Merchandise Discount and EAP Resources

Job summary

Nordstrom in Seattle is seeking a capable engineer to design and develop highly scalable software applications, data pipelines, and database solutions for the Product Information Management team.

You will build microservices with modern tech, leverage Kafka, Kubernetes, and Docker in an agile environment, and collaborate with merchants, data scientists, and platform teams to publish high-quality product data in near real time.

Qualifications

• 3+ years of experience with 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, New Relic.
• Experience with AI tools integrated into the engineering lifecycle.
• Experience with cloud environments such as AWS or GCP.
• Experience in developing near real-time distributed data processing solutions using Kafka.
• Experience in scalable distributed systems, service-oriented and event-driven streaming architecture.
• Bachelor’s or master’s degree in computer science, Engineering, or equivalent practical experience.
• Experience working in a retail environment and/or supporting merchandising systems.

Responsibilities

• Design and develop scalable and reliable micro services using in-house and modern technologies in an agile environment.
• Understand the specific needs of a major line of business and the related set of applications, systems, or functions, and design data solutions that fit business needs.
• Understand architecture and design interaction between multiple modules.
• Design and develop distributed applications and adhere to good engineering practices.
• Conduct code reviews and drive accountability in following software engineering principles.
• Build testing tools and CI/CD pipeline, reduce automation friction to speed up the path to business outcomes.
• Identify data performance issues and optimize the solution.
• Perform ongoing production and on-call support duties to resolve any incidents and issues.
• Work on cost savings, production alerts, and logging dashboards.
• Communicate clearly and efficiently with Nordstrom teams.)

Skills

Java

SQL

NoSQL

Spring Boot

Kafka

Kubernetes

Docker

New Relic

AI tools

AWS

GCP

Real-time data

Distributed systems

Operational excellence

Education

Bachelor’s or Master’s degree in computer science or engineering

Tools

Spring Boot

Kafka

Kubernetes

Docker

New Relic

AWS

GCP

Job description

Nordstrom in Seattle is seeking a capable engineer to design and develop highly scalable software applications, data pipelines, and database solutions for the Product Information Management team.

You will build microservices with modern tech, leverage Kafka, Kubernetes, and Docker in an agile environment, and collaborate with merchants, data scientists, and platform teams to publish high-quality product data in near real time.