Senior Data Engineer, Insights Delivery Merch

Nordstrom

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Seattle, WA
Employment: Full-time
Posted: 55 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $170k

$116k $223k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$213,000.

Based on 240 similar postings.

Employer

About Nordstrom

Nordstrom is a leading American luxury department store chain offering a wide selection of clothing, shoes, accessories, and beauty products through its stores, Nordstrom Rack outlets, and online. Industry: Luxury Department Store Retail

Nordstrom currently has 69 open roles on FindRole.

Listed pay typically runs $166,000–$258,000 across 26 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer, Insights Delivery Merch

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The Senior Data Engineer, Insights Delivery Merch joins the Nordstrom Data Platform team to deliver near real-time data for merchant planners, buyers, and leadership. This role involves designing and developing highly scalable software applications, distributed data processing pipelines, and database solutions within a Big Data ecosystem. You will lead projects, mentor junior engineers, conduct code reviews, and maintain high data quality standards while optimizing performance and building CI/CD pipelines. Key technologies include Java, Python, SQL, Kafka, Flink, Spark, DynamoDB, and Airflow, with preferred experience in GCP BigQuery and DBT. The work focuses on providing 360 views of products, inventory, and logistics to solve merchandise planning and selling control reporting challenges through event-streaming-centric analytical platforms and automated engineering solutions.

What does a Data Engineer earn?

Median $160500 from 198 postings across 59 companies.

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Skills

Python Java SQL GCP BigQuery Kafka Flink Spark DynamoDB Airflow DBT CI/CD Data Modeling Distributed Systems Big Data Data Pipelines

What you'll do

Design and develop scalable, durable data analytical solutions using modern technologies in an agile environment.
Build distributed data processing pipelines within the cloud Big Data ecosystem.
Design data solutions that align with specific business needs and functional requirements.
Build testing tools and CI/CD pipelines to reduce automation friction and speed up delivery.
Identify and optimize data performance issues while maintaining high data quality standards.
Perform ongoing production and on-call support to resolve incidents and technical issues.
Develop cost-saving initiatives, production alerts, and logging dashboards.
Leverage AI tools to accelerate development velocity and automate production support.

What we're looking for

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 and 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+ year 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 and automate testing.
Familiarity with data build tools such as DBT (preferred).
Familiarity with GCP BigQuery (preferred).
Business domain knowledge in Merchandise Planning, Inventory and Selling Control reporting data solutions (preferred).

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