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

Nordstrom, Inc.
Seattle, WA, United States
15 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Compensation
$142,000.0 - $220,500.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Airflow Automation of Tests Big Data BigQuery Cloud Computing Code Review Databases Continuous Integration Information Engineering Data Infrastructure
+20 more
Data Systems Database Development Programming Tools Distributed Computing Environment Distributed Systems Amazon DynamoDB Python (Programming Language) Software Engineering SQL Databases Data Logging Cloud Platform System Apache Spark Build Management Information Technology Apache Flink Apache Kafka Non-relational Database Data Pipelines GXP Programming Languages

Job description

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.

A day in the life…

  • 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

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

Benefits & conditions

The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations. Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience. $142,000.00 - $220,500.00 Annual

We’ve got you covered…

Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:

  • Medical/Vision, Dental, Retirement and Paid Time Away
  • Life Insurance and Disability
  • Merchandise Discount and EAP Resources

This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf

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