Engineer 2 - Analytics Engineering - Hybrid - Seattle

$103,000 - $188,500/Yr

Nordstrom - Seattle, WA

Full-time - Mid Level

Seattle, WA

Clothing, Clothing Accessories, Shoe, and Jewelry Retailers

About the position

The Analytics Engineering (AE) team at Nordstrom is focused on designing and developing end-to-end solutions that support Business Intelligence (BI) and Data Science (DS) across the company. The Engineer 2 role is pivotal in building the next generation of data enablement for BI and DSA, collaborating with various teams to influence and enhance data products and analytics capabilities. The ideal candidate will contribute to the development of automated workflows, enforce data governance standards, and partner with stakeholders to deliver effective self-service solutions.

Responsibilities

• Contribute to the development and evolution of 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 stakeholders and the DSA organization.
• Identify performance issues and optimizations across high-level architecture design 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 POCs 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 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.

Requirements

• BA/BS in Computer Science or closely related degree or equivalent practical experience.
• 3+ years of experience in scripting for automation, preferably Python in a data engineering context.
• 2+ years of hands-on experience writing complex, highly-optimized production-quality SQL, including BQSQL, TeradataSQL, and SparkSQL.
• Working knowledge of AWS services, focusing on EMR, EKS, S3, and Lambda.
• Working knowledge of GCP services such as BigQuery, DataPlex, DataProc, and GCS.
• Strong familiarity with orchestration and processing platforms, preferably Airflow.
• 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.

Benefits

• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources