✦ Luna Orbit — Data & Analytics

Data Engineer 2, Customer Insights Delivery (Hybrid - Seattle, WA)

at Nordstrom

📍 Seattle, WA Hybrid 💰 $121K – $188K USD / year Posted April 01, 2026
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Position Details

Salary $121K – $188K USD / year
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience
Category Data & Analytics

About this role

Data Engineer 2 on Nordstrom's Customer Insights Delivery team develops scalable data applications, services, and data pipelines to enable near real-time customer insights across stakeholders.

Key Responsibilities

  • Design and develop scalable data analytical solutions; collaborate with stakeholders; own code reviews and software engineering principles; build tests and CI/CD pipelines; optimize performance and cost

Technical Overview

Stack includes Java/Python, SQL, cloud (AWS/GCP), BigQuery, Looker, Kafka, Flink, Spark, Kubernetes, Airflow, dbt; responsible for distributed data processing, data modeling, and CI/CD practices; on-call production support.

Ideal Candidate

The ideal candidate is a mid-level data engineer with 3+ years' experience building scalable data pipelines in cloud environments (AWS or GCP), proficient in Java or Python and SQL, and familiar with BigQuery and Looker.

Must-Have Skills

Bachelor's or Master's degree in Computer ScienceEngineeringor equivalent practical experience3+ years of experience in at least one modern programming language such as Java or Python2+ years of experience with databasesSQLdata modelingdata miningand automated engineering solutions

Nice-to-Have Skills

Familiarity with GCP BigQuery and LookerExperience with cloud environments such as AWS or GCPExperience in developing distributed data processing solutions using KafkaFlinkSparkKubernetesAirflowor similar technologiesdbt experience

Tools & Platforms

Google Cloud PlatformBigQueryLookerAmazon Web ServicesKafkaFlinkSparkKubernetesAirflowdbtSQL

Required Skills

JavaPythonSQLBigQueryLookerGoogle Cloud PlatformAWSKafkaFlinkSparkKubernetesAirflowdbt; distributed data processing; data pipelines; data modeling

Hard Skills

JavaPythonSQLBigQueryLookerGCPAWSKafkaFlinkSparkKubernetesAirflowdbtdistributed data processingdata pipelines

Soft Skills

communicationcollaborationanalytical thinkingproblem-solving

Industry & Role

Industry Retail
Job Function Design and deliver scalable data pipelines and analytics solutions to enable Nordstrom customer insights.
Role Subtype Data Engineer
Tech Domains Amazon Web Services, Google Cloud Platform, BigQuery, Looker, Kafka, Kubernetes, Airflow, dbt, SQL

Keywords for Your Resume

data engineercustomer insights deliveryNordstromSeattlehybridjavapythonsqlbigquerylookergcpawskafkaflinksparkkubernetesairflowdbtproduction support

Deal Breakers

Less than 3 years of data engineering experience, No experience with cloud data platforms, Lack of proficiency in Java or Python

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