Data Engineer 2 (Hybrid - Seattle, WA)

Nordstrom•Seattle, WA

1d•Hybrid

About The Position

The Store Selling Insights Delivery Team delivers data and insights that enables Nordstrom Data Analysts, Data Scientists, Leaders, Store Personnel and other business stakeholders to drive the critical Nordstrom customer experiences in a single place, near real-time. As a Data Engineer 2 on our team, you will own the design and development of highly scalable software applications, services, data pipelines and database solutions, apply scientific, mathematical and social principles, and deliver on the Nordstrom strategic visions. You will have various avenues to collaborate and influence several other platforms within Nordstrom Technology and have a companywide impact on both business and engineering. The ideal candidate is creative, customer-driven and has a passion for data engineering and products. 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. Read this first: We encourage you to apply even if you do not meet all the qualifications but feel you would be a good fit for the position. Nordstrom is an equal-opportunity employer. We are building a diverse, inclusive workforce and hope you will join us!

Requirements

Bachelor’s or Master's degree in Computer Science, Engineering, or equivalent practical experience required.
3+ years of experience in at least one modern programming language such as Java or Python
2+ years of experience with databases, SQL, data modeling, data mining, and automated engineering solutions.
Experience with cloud environments such as AWS, GCP.
Experience in developing near real-time distributed data processing solutions using Kafka, Flink, Spark, Kubernetes, Airflow.
Experience in scalable distributed systems, service-oriented and event-driven streaming architecture.
Experience with best practices for data engineering and operational excellence.
Passion for innovative technologies, operational excellence, and customer impact.

Nice To Haves

Familiarity with GCP BigQuery or Teradata is a plus.

Responsibilities

Design and develop scalable and durable data analytical solutions using in-house and modern technologies for business in an agile environment.
Understand the specific needs of a major line of business and the related set of applications, systems, or functions.
Design and develop distributed data processing pipelines in the Big Data ecosystem in the Cloud, apply data concept, modeling, structures, and infrastructure technologies and adhere to good engineering practices.
Own responsibility for 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 data quality issues and optimize the solution.
Perform on-going production support and on-call support duties.
Work with both onsite and offshore resources daily to resolve any incidents and issues.
Responsible for cost savings, production notifications, alerts, and logging dashboards.
Collaborate with Product Managers, Data Analysts, Data Scientists, business partners and other tech teams.
Partner with analyst stakeholders toward delivering highly effective self-service BI solutions.
Communicate clearly and efficiently with our partner teams.