Seattle, WA
Full time
R-867723
Job Description
As a Data Engineer 1 on our Insights Delivery Finance team, you will help build analytical solutions and self-serve tools that empower Nordstrom's finance organization to access and understand their data independently. Working alongside senior engineers, you will contribute to platforms that enable conversational analytics, interactive reporting, and on-demand insights - reducing finance teams' dependency on ad-hoc requests and putting answers directly in their hands. This is an opportunity to grow your engineering skills at the intersection of data, AI, and finance.
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.
A day in the life...Technical Development- Build and maintain Python-based data pipelines that prepare financial data for analytical consumption in BigQuery- Develop dbt models following the medallion architecture to create clean, reliable datasets that power self-serve analytics- Contribute to conversational analytics capabilities that allow finance users to query data using natural language- Write SQL transformations that shape data for dashboards, reports, and AI-driven insights tools- Help build and maintain APIs and services that deliver data to downstream analytical applicationsCollaboration & Learning- Work with senior engineers to understand requirements and translate them into well-structured code- Partner with finance stakeholders to understand their analytical needs and validate that solutions deliver actionable insights- Participate in code reviews, asking questions and incorporating feedback to improve your work- Contribute to team documentation and user-facing guides that help finance teams adopt self-serve toolsQuality & Growth- Write clear, tested code that follows team standards and is easily understood by others- Learn and apply best practices for building reliable, scalable analytics solutions- Understand how to instrument pipelines and applications with logging, metrics, and alerting- Stay curious about emerging AI and analytics technologies and bring ideas back to the team- Adhere to engineering and security standardsYou own this if you have...- Bachelor's or Master's degree in Computer Science, Data Science, or related field- Internship or coursework experience in software engineering or data engineering- Python Proficiency: Ability to write clean, readable Python code for data processing and application development- SQL Fundamentals: Comfortable writing queries to explore, transform, and validate data- Data Concepts: Understanding of relational databases, data modeling, and ELT/ETL patterns- Cloud Familiarity: Exposure to cloud platforms (GCP or AWS) through coursework or projects- Problem-Solving: Strong analytical skills and attention to detail when debugging data issuesNice to Have:- Experience with BigQuery, dbt, or other modern data stack tools- Familiarity with LLMs, AI agents, or conversational interfaces- Exposure to visualization tools like Tableau or Looker- Experience with Git and CI/CD workflows
Pay Range Details
The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations. Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.
$104,500.00 - $162,500.00 Annual
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
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. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben\Overview\15\Full\Time_ES-US.pdf
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.
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 (https://careers.nordstrom.com/#/contact-us/faq) for relevant information and guidelines.
Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.
Nordstrom keeps job postings open for at least one day after the posting date.
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We're a fast-moving fashion company that started as a shoe store in 1901. This heritage of service is the foundation we're building on as we provide convenience and true connection for our customers. We empower our people to be innovative, creative and focused on providing the best service to our customers. Through it all, we remain committed to leaving the world better than we found it.
Whether you're a genius engineer, a phenomenal salesperson or a supply chain pro, we invite you to bring your unique talents and join our team. We reward great work, promote from within and celebrate diversity.
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