Senior Data Engineer, Insights Delivery Merch (Hybrid - Seattle, WA)

Nordstrom•Seattle, WA

11d•Hybrid

About The Position

Nordstrom Data Platform is a real-time, event-streaming-centric analytical platform that provides high-quality, pre-stitched 360 views of our products, inventory, purchase orders, price, fulfillment, logistics and customer service. The Insights Delivery Merch Team delivers data that enables Nordstrom business users such as merchant planners and buyers, data scientists, store personnel, and other business users and leadership to drive the critical Nordstrom Merchandise best action decisions in a single place near real-time. We are looking for an engineer to help our team design and develop highly scalable software applications, data pipelines, and database solutions, apply scientific and mathematical principles, and deliver on Nordstrom's strategic vision. This role is offered as hybrid in Seattle, WA. Candidates must be available to work in office at the Nordstrom corporate headquarters a minimum of 4 days/week to be considered for this position.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience
2+ years of experience leading multi-engineer projects and mentoring junior engineers
5+ years of experience designing robust data pipelines, relational and non-relational database architectures.
5+ years of experience in at least one modern programming language such as Java or Python
5+ years of experience with databases, SQL, data modeling, and automated engineering solutions.
3+ years of experience with cloud environments such as GCP
1+ years of experience in developing near real-time distributed data processing solutions using Kafka, Flink, Spark, DynamoDB, and Airflow
1+ year of experience in scalable distributed systems and event-driven streaming architecture
1+ year of experience using AI-powered development tools to accelerate coding workflows, automate testing, and improve delivery velocity
Experience with best practices for data engineering and operational excellence
Passion for innovative technologies, operational excellence, and customer impact

Nice To Haves

Familiarity with data build tools such as DBT is a plus
Familiarity with GCP BigQuery is a plus
Business domain knowledge in Merchandise Planning, Inventory and Selling Control reporting data solutions is a huge plus

Responsibilities

Lead projects and mentor junior engineers
Design and develop scalable and durable data analytical solutions 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 data processing pipelines in the Big Data ecosystem in the Cloud, apply data definitions, modeling, structures, and infrastructure technologies 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
Maintain high data quality standards; identify and measure quality across the entire solution
Perform ongoing production and on-call support duties to resolve any incidents and issues
Work on cost savings, production alerts, and logging dashboards
Collaborate with product managers, data analysts, data scientists, and business partners
Partner with analyst stakeholders toward delivering highly effective self-service BI solutions
Leverage AI to accelerate development velocity and automate production support