Engineer 2 - Analytics Engineering - Hybrid - Seattle

Seattle WA

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Job Description

Analytics Engineering Team
The vision for Data Science & Analytics (DSA) at Nordstrom is to be the best data-driven fashion retailer in the world, and we win by being relevant to the customer through an application of insight and prediction to business outcomes.

The Analytics Engineer (AE) team is responsible for designing and developing end-to-end solutions that support BI and Data Science across the company. We facilitate the overall development of automated, self-serve workflows - their platform, reporting database structures, and enterprise data sources. Our self-serve platform for BI/DSA accelerates development and creates value in reduced time-to-production, abstraction of cumbersome engineering tasks, improved accuracy, and infrastructure stability. We also provide data governance, access management, and work to promote analyst projects into full-blown production-grade workflows. Furthermore, AE directly drives feature development from an analyst's perspective across a constellation of platform teams in order to ensure that our tooling is designed and governed in a way that empowers our analyst stakeholders.

Engineer 2 will play a key role working with a team of talented professionals to build the next generation of data enablement for BI and DSA at Nordstrom. You will have various avenues to collaborate and influence several other platforms within Nordstrom Technology and have a companywide impact on business, analytics, and engineering. The ideal candidate is curious, creative, customer-driven, outcome-oriented, and has a passion for the challenges and dynamism of data products.

Read this first: We encourage you to apply even if you do not meet all the qualifications but feel you would be a good fit for the position. Nordstrom is an equal-opportunity employer.  We are building a diverse, inclusive workforce and hope you will join us!

A day in the life…

  • Contribute to the development and evolution of our data infrastructure and self-serve analytics platform

  • Build testing tools and CI/CD pipelines to reduce automation issues while speeding up the path to business outcomes

  • Create and enforce data governance standards while driving a unified path-to-production to promote analytical projects

  • Influence coding standards and espouse optimal design practices to our stakeholders and the DSA organization

  • Identify performance issues and optimizations across high-level architecture design all the way to low-level code

  • Partner with analyst stakeholders and drive feature development toward delivering highly effective self-service solutions

  • Provide automation, technical scaffolding, and well-designed POC's to hand-off to analyst teams

  • Act as tech sponsors to give non-technical stakeholders the ability to realize their data engineering pipelines and workflows

  • Act as trusted partners to our platform teams and stakeholders - performing design and code reviews as necessary

  • Collaborate with product managers, data analysts, data scientists, business partners and other tech teams.

You own this if you have…

  • BA/BS in Computer Science or closely related degree or equivalent practical experience

  • 3+ years of experience in scripting for automation (Python in a data engineering context is strongly preferred)

  • 2+ years of hands-on experience writing complex, highly-optimized production-quality SQL (we work mostly with BQSQL, TeradataSQL, and SparkSQL)

  • Working knowledge of AWS services with a focus on EMR, EKS, S3, and Lambda.

  • Working knowledge of GCP services such as BigQuery, DataPlex, DataProc, GCS, etc.

  • Strong familiarity with orchestration and processing platforms (Airflow preferred)

  • Fluency with BI software and data visualization concepts to architect and model data for reporting projects

  • Familiarity with DevOps, CI/CD and IaC Tooling/Workflows:

  • Bash/Shell, Docker, Kubernetes, GitLab CI, and Vault

  • Knowledge of scalable distributed systems, service-oriented and event-driven streaming architecture.

  • Passion for new technologies, operational excellence, and customer impact

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 www.nordstrom.com

© 2022 Nordstrom, Inc  

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

Pay Range Details

The pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.

Washington: $103,000 - $188,500 Annually

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_16.pdf

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Tags: Airflow Architecture AWS BigQuery CI/CD Classification Computer Science Data governance Dataproc Data visualization DevOps Distributed Systems Docker Engineering GCP GitLab Kubernetes Lambda Pipelines Python SQL Streaming Testing

Perks/benefits: Health care Insurance Salary bonus

Region: North America
Country: United States

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