Lead Data Engineer

Who You’ll Work With

You will be part of the larger Global Technology organization, working on Nike’s internal product tools and reporting to the team’s Engineering Director. You will work day-to-day with engineers, the team’s Technical Product Manager, and Principal Engineers on software projects supporting Nike’s business objectives. You will also engage with other Global Technology functions and teams on organizational and technical goals.

Who We Are Looking For

We’re looking for a Lead Data Engineer to solve complex software engineering problems supporting Nike’s pursuit of delivering state-of-the-art tools to its Consumer Product and Innovation community. The candidate should be highly collaborative, productive in a fast-paced development environment, and experienced in native cloud software engineering.

What You’ll Work On

You will be part of and lead a team of engineers building tooling for Consumer Product & Innovation team members. Nike is investing in modular, configurable, API-first capabilities consumed by modern web applications built with recent SPA frameworks. You will help coordinate with other teams and provide guidance and coaching to more junior team members.

Qualifications

• Experience leading teams in a highly collaborative environment
• Bachelor’s degree in computer science, engineering, information systems, or a similar field, or relevant professional experience in lieu of a degree
• 8+ years of hands-on industry data engineering experience
• Proficiency in SQL, Spark, and Python
• Hands-on experience with Databricks, AWS, and Snowflake
• Strength in data modeling, ETL development, and data streaming
• Experience with AWS products including Lambda, Step Functions, DynamoDB, Elasticsearch, and S3
• Expertise in Java, with understanding of JavaScript/TypeScript and Node.js
• Experience with React, Vue.js, or Angular for data visualization dashboards
• Expertise in API development using REST or GraphQL APIs for data services
• Strong understanding of microservices architecture and architectural design patterns
• Experience with CI/CD and leading teams with DevOps responsibilities for deploying and supporting software in production
• Experience implementing and integrating AI, machine learning, and related data solutions

About Nike

NIKE, Inc. offers a generous total rewards package, a casual work environment, a diverse and inclusive culture, and opportunities for professional development. Nike is an equal opportunity employer.