WHO YOU’LL WORK WITH You will be a part of the larger Global Technology organization working on Nike’s internal product tools and report to the team’s Engineering Director.
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
We are investing in building modular, configurable and “API-First” capabilities which will be consumed by modern web applications build with the most recent SPA frameworks. You are expected to help coordinate with other teams and provide guidance and coaching for more junior team members. Experience leading teams in a highly collaborative environment Bachelor’s degree in computer science, Engineering, Information Systems, or similar field, or relevant professional • experience in lieu of a degree 8+ years of hands-on industry data engineering experience Proficiency in SQL, Spark, Python Hands-on experience with Databricks, AWS, Snowflake Demonstrated strength in data modeling, ETL development, and data streaming. Experience with AWS products including Lambda, Step Functions, DynamoDB, Elasticsearch, S3 Demonstrated expertise in Java, with understanding of JavaScript/TypeScript, Node.js Experience with React, Vue.js, or Angular for data visualization dashboards Demonstrated expertise in API development using REST/GraphQL APIs for data services Strong understanding of microservices architecture and architectural design patterns Experience with CI/CD and leading teams with DevOps
for deploying and supporting software in production Experience with implementing and integrating AI, Machine Learning and related data solutions At NIKE, Inc. we promise to provide a premium, inclusive, compelling and authentic candidate experience.
Discover exciting opportunities in biotechnology. Join innovative companies that are advancing healthcare and life sciences through cutting-edge research and development.
Salary: $90,000 - $140,000
🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.
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