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Senior Data Engineer - Job Opportunity at NIKE, Inc.

Beaverton, United States
Full-time
Senior
Posted: May 2, 2025
Remote
USD 140,000 - 180,000 per year based on location, seniority, and current market conditions for enterprise data engineering roles

Benefits

Remote work flexibility with broad US coverage
Reasonable accommodation support for candidates
Industry-standard technology stack access
Collaborative Agile environment

Key Responsibilities

Design and architect scalable data solutions for enterprise analytics products
Lead technical implementation of data management initiatives
Drive data quality improvement through systematic optimization
Develop reusable frameworks and components for analytics infrastructure
Guide and review technical deliverables from team members
Implement automated data pipelines and workflows
Architect solutions for high-volume data processing

Requirements

Education

Master's degree in Computer Science, Information System Security, or Cybersecurity

Experience

One (1) year in job offered or engineering-related occupation

Required Skills

Spark Python Airflow Snowflake Hive AWS S3 EC2 EMR Databricks SQL Data Engineering Spark streaming
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Sauge AI Market Intelligence

Industry Trends

Enterprise data engineering is shifting towards cloud-native architectures with increased focus on real-time processing capabilities The combination of Spark, Snowflake, and AWS indicates a modern data stack adoption following industry best practices Growing emphasis on reusable components and frameworks reflects the industrialization of data engineering practices

Role Significance

Likely part of a 5-8 person data engineering team within a larger technology organization
Strategic technical leadership role with significant influence on data architecture and engineering standards

Key Projects

Enterprise data platform modernization Real-time analytics pipeline development Data architecture optimization initiatives Cross-functional data product development

Success Factors

Deep expertise in distributed computing and data processing at scale Strong architectural thinking with focus on reusability and maintainability Effective collaboration with business stakeholders and technical teams Balance of technical excellence with business value delivery

Market Demand

Very high demand with continued growth projected. Nike's position as a leading global brand and their digital transformation initiatives make this role particularly significant

Important Skills

Critical Skills

Spark/Databricks expertise is crucial for large-scale data processing Strong Python skills needed for complex data engineering tasks Snowflake proficiency indicates modern data warehouse focus AWS platform knowledge essential for cloud infrastructure management

Beneficial Skills

Machine learning engineering capabilities Data governance expertise Performance optimization experience Stream processing knowledge

Unique Aspects

Opportunity to work on large-scale data systems for a global retail leader
Exposure to both e-commerce and supply chain data challenges
Balance of technical depth with business impact

Career Growth

2-3 years in role before advancement, depending on project impact and leadership development

Potential Next Roles

Lead Data Engineer Data Architecture Manager Technical Architecture Leader Engineering Manager

Company Overview

NIKE, Inc.

Global leader in athletic footwear, apparel, and digital products with significant investment in digital transformation

Fortune 500 company with strong market position and substantial technology investment capacity
Major technology hub in Beaverton with distributed teams across US
Fast-paced, innovation-focused environment with strong emphasis on digital excellence and agile practices
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