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 Engineer 2 - Analytics Engineering role at Nordstrom is focused on enhancing the company's data infrastructure and self-serve analytics platform. This position involves collaborating with various teams to develop automated workflows, enforce data governance standards, and drive feature development that empowers analysts. The ideal candidate will have a strong background in data engineering, scripting, and cloud services, and will play a key role in delivering impactful data solutions across the organization.

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 and speed up business outcomes.
• Create and enforce data governance standards while promoting analytical projects.
• Influence coding standards and optimal design practices within the DSA organization.
• Identify performance issues and optimizations across architecture design and code.
• Partner with analyst stakeholders to deliver effective self-service solutions.
• Provide automation and technical scaffolding for analyst teams.
• Act as tech sponsors for non-technical stakeholders to realize data engineering pipelines.
• Perform design and code reviews as a trusted partner to platform teams and stakeholders.
• Collaborate with product managers, data analysts, data scientists, 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, production-quality SQL (BQSQL, TeradataSQL, SparkSQL).
• Working knowledge of AWS services (EMR, EKS, S3, Lambda).
• Working knowledge of Google Cloud Platform services (BigQuery, DataPlex, DataProc, GCS).
• Strong familiarity with orchestration and processing platforms (Airflow preferred).
• Fluency with BI software and data visualization concepts.
• Familiarity with DevOps, CI/CD, and IaC Tooling/Workflows (Bash/Shell, Docker, Kubernetes, GitLab CI, Vault).
• Knowledge of scalable distributed systems 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