Data Engineer 2

About the role

The Insights Delivery Merch Team at Nordstrom Data Platform is responsible for delivering high-quality, pre-stitched 360 views of products, inventory, purchase orders, price, fulfillment, logistics, and customer service. We provide data that enables key business users like merchant planners and buyers, data scientists, store personnel, and other stakeholders to make critical merchandise decisions in real-time.

Responsibilities

• Design and develop scalable and durable data analytical solutions using in-house and modern technologies in an agile environment.
• Understand specific business needs and design data solutions that meet those needs.
• Design and develop distributed data processing pipelines in the Big Data ecosystem in the Cloud, adhering to best practices.
• Build testing tools and CI/CD pipelines to streamline the development process and ensure business outcomes.
• Identify and optimize data performance issues to maintain high data quality standards.
• Maintain high data quality standards; identify and measure quality across the entire solution.
• Perform ongoing production and on-call support duties to resolve incidents and issues.
• Work on cost savings, production alerts, and logging dashboards.
• Collaborate with product managers, data analysts, data scientists, and business partners to deliver highly effective self-service BI solutions.
• Communicate clearly and efficiently with Nordstrom teams.

Requirements

• 3+ years of experience in at least one modern programming language such as Java or Python.
• 3+ years of experience with databases, SQL, data modeling, and automated engineering solutions.
• Familiarity with GCP BigQuery is a plus.
• Experience with cloud environments such as AWS or GCP.
• 1+ year of experience building dbt models, or strong familiarity with dbt fundamentals (models, tests, documentation, project structure).
• Experience in developing near real-time distributed data processing solutions using Kafka, Flink, Spark, DynamoDB, and Airflow.
• Experience in scalable distributed systems, service-oriented, and event-driven streaming architecture.
• Experience with best practices for data engineering and operational excellence.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related degree.
• Passion for innovative technologies, operational excellence, and customer impact.
• Business domain knowledge in Merchandise Planning and Reporting data solutions is a huge plus.

Qualifications

• Passport to work in the United States.

Skills

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Experience with data warehousing and analytics tools.
• Knowledge of data engineering best practices.

Benefits

Nordstrom offers a comprehensive benefits package including:

• Medical/Vision, Dental, Retirement
• Paid Time Off
• Life Insurance and Disability
• Merchandise Discount and Employee Assistance Program (EAP)

Additionally, Nordstrom may offer performance-based incentives/bonuses. For Los Angeles or San Francisco applicants, Nordstrom conducts background checks after conditional offer and considers qualified applicants with criminal histories in a manner consistent with legal requirements.