Nordstrom
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Data Engineer 1 (Hybrid - Seattle, WA)
role at
Nordstrom
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.
Day in the Life
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 drives 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.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience required.
0-1+ years of experience in at least one modern programming language such as Java or Python.
0-1+ years of experience with databases, SQL, data modeling, data mining, and automated engineering solutions. Familiarity with GCP BigQuery or Teradata is a plus.
Experience with cloud environments such as AWS, GCP.
Experience in developing near real-time distributed data processing solutions using Kafka, Flink, Spark, Kubernetes, Airflow preferred.
Experience in scalable distributed systems, service-oriented and event-driven streaming architecture preferred.
Experience with best practices for data engineering and operational excellence.
Passion for innovative technologies, operational excellence, and customer impact.
Benefits 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
Pay Range Details $104,500.00 - $162,500.00 Annual. This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more.
Job Details
Seniority level: Entry level
Employment type: Full-time
Job function: Information Technology
Industries: Retail
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.
For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site.
Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com.
Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ’s for relevant information and guidelines.
© 2022 Nordstrom, Inc
#J-18808-Ljbffr
Data Engineer 1 (Hybrid - Seattle, WA)
role at
Nordstrom
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.
Day in the Life
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 drives 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.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience required.
0-1+ years of experience in at least one modern programming language such as Java or Python.
0-1+ years of experience with databases, SQL, data modeling, data mining, and automated engineering solutions. Familiarity with GCP BigQuery or Teradata is a plus.
Experience with cloud environments such as AWS, GCP.
Experience in developing near real-time distributed data processing solutions using Kafka, Flink, Spark, Kubernetes, Airflow preferred.
Experience in scalable distributed systems, service-oriented and event-driven streaming architecture preferred.
Experience with best practices for data engineering and operational excellence.
Passion for innovative technologies, operational excellence, and customer impact.
Benefits 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
Pay Range Details $104,500.00 - $162,500.00 Annual. This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more.
Job Details
Seniority level: Entry level
Employment type: Full-time
Job function: Information Technology
Industries: Retail
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.
For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site.
Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com.
Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ’s for relevant information and guidelines.
© 2022 Nordstrom, Inc
#J-18808-Ljbffr