Engineer 2 – Nordstrom Analytics Platform

  • Seattle, WA
  • Applications have closed


**Job Description** Nearly a year ago, we began our journey to transform our approach to data and analytics from a batch-centric platform with

**Job Description**

Nearly a year ago, we began our journey to transform our approach to data and analytics from a batch-centric platform with siloed data marts, to our Nordstrom Analytical Platform (NAP), a real-time, event-streaming-centric, analytical platform that provides high quality, pre-stitched 360 views of our customers, products, inventory, customer service, fulfilment/logistics, and credit. This year, we will release the next iteration of NAP’s Supply Chain and Fulfillment data products enabling Nordstrom data analysts, data scientists, leadership, store personnel and other business users for the first time to interact with a 360 view of customer order routing, fulfillment and delivery related data across all channels (Full Price and Off Price) and platforms (,, mobile apps, etc) in a single place at near real-time.

Nordstrom Data Technology is pivotal to the Nordstrom customer experience. As a data engineer, you will be working on building the next generation of the Nordstrom Analytics Platform and deliver solutions to help boost our in Store experiences. You will have the opportunity to touch every piece of data that is emitted by our physical stores and stitch it with data across the enterprise to better understand how we can accelerate performance. The data you provide will help build the next generation of brick and mortar experience for our customers, one that will mesh digital and physical in an unprecedented manger. One day you may be working on Kafka to ingest data, another on Spark to combine multiple events and another day may involve custom java code to land data into Teradata. If you’re passionate about using data to help our business create amazing customer experiences, this is the right team for you. If you enjoy collaborating with Product teams, Data Scientists, Machine Learning Platforms and Big Data all in the same team, we want to hear from you today!

**A day in the life…**

+ · Possesses deep proficiency of data engineering best practice(s)

+ Coding proficiency in at least one modern programming language (e.g. Python, Java, Scala)

+ Design and develop distributed data processing pipelines in the Big Data ecosystem using Spark, Flink, Kafka, Hive, Hbase, Presto, etc.

+ Proficiency in writing SQL queries, schema design, and familiar with relational MPP databases such as Teradata and Redshift and/or Big Data Technologies (Hadoop, Hive, Presto, Pig, Spark, etc.).

+ Working experience with various data formats such as Avro, JSON, Parquet, ORC.

+ Experience with cloud environments such as AWS or Azure.

+ Experience with automation and orchestration platforms such as Airflow.

+ Partner with the Data Engineers, Technical Program Managers, Analysts, Data Scientists and other stakeholders on building a best-in-class suite of processing tools and reporting mechanisms to bring the most salient, insightful data more directly into key business functions.

+ Continual performance tuning and capacity planning for future growth potential.

+ Provide a constant flow of new and innovative ideas.

+ Integrates broad working knowledge in related disciplines to create integrated technical innovations/ solutions for complex business situations.

+ Works with larger team to drive to resolution on complex engineering problems.

+ Accountable for resolving specific issues within a particular area, application, technology or system.

+ Viewed as a trusted engineering resource.

**You own this if you have…**

+ 4+ years of professional experience

+ 4+ years of experience in at least one modern programming language (e.g. Python, Java, Scala)

+ 2+ years of experience with MPP Databases, SQL, data modeling, data mining, and automated engineering solutions.

+ Experience in developing near real-time data processing solutions using Kafka, Flink, Spark Streaming is a major plus

+ Experience mentoring others.

+ Bachelor’s or Master’s in Computer Science, Engineering, or equivalent practical experience


**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

A few more important points…

The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.

Nordstrom will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at at .

Nordstrom Careers Privacy Policy:

© 2020 Nordstrom, Inc.

Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.

We’re a fast-moving fashion company that empowers our people to be innovative, creative and always focused on providing the best service to our customers. The retail industry is rapidly changing, and we have interesting, complex problems to solve every day – from developing cutting-edge technology and opening new stores, to designing fresh, must-have fashion.

Whether you’re a genius engineer, a phenomenal salesperson or a supply chain guru, we invite you to bring your unique talents and join our team. We’ve been on the Fortune™ 100 Best Places to Work list for more than 20 years because we reward great work, promote from within and celebrate diversity.

Our values are the core of who we are. They inspire our employees, delight our customers and bring our business to life every day.


We strive to know our customers better than anyone else. We listen, anticipate, build trust and move with speed to deliver on their needs.


We treat every interaction as an opportunity to make an impact and deliver excellence.


We approach problems with curiosity and create solutions. We unlock potential to be bold, think big and inspire innovation.


We’re committed to delivering results, both today and tomorrow. We win as a team by supporting and challenging one another to be better every day.


We treat each other with respect and kindness. We do the small things that make a big difference. We create a welcoming environment, helping people feel connected, valued and part of one community.

Come on! Join us!