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At Nike, we leverage the power of data and technology to serve athletes* around the world. The Data & AI (DAI) team is at the forefront of this mission—building scalable, secure, and intelligent platforms that power decision-making and personalized experiences across the Nike ecosystem.
We are looking for a skilled software engineer with a passion for building and maintaining data platforms. You thrive in a collaborative environment and have a proven track record of delivering reliable software.
• 3+ years of experience in software development, with a strong foundation in distributed systems and data platforms.
• Deep expertise with cloud platforms like AWS, Azure, or GCP.
• Hands-on experience with Databricks, Snowflake, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark and Apache Airflow.
• Proficiency in programming languages such as Python, JavaScript, Java, Go, or C++.
• Strong understanding of Lakehouse architecture, Data Mesh principles, data governance frameworks, and modern data pipelines.
• Proven ability to deliver high-impact, API-first services at scale.
• Proficiency with tools like Terraform or AWS CloudFormation is critical for managing cloud infrastructure programmatically, ensuring consistency, and enabling automation.
• A strong familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications
• Strong problem-solving and analytical thinking skills.
• Excellent communication and collaboration skills.
• Design, develop, and maintain scalable data platforms and services.
• Develop SDKs, APIs, and microservices to support enterprise-wide data and analytics needs.
• Write clean, maintainable, and well-tested code.
• Implement best practices in software development, data governance, and platform observability.
• Collaborate with senior engineers and other team members to design and implement data solutions.
• Ensure data quality and reliability through testing and validation.
• Development of agentic and AI/LLM powered enterprise applications
• Participate in code reviews and contribute to team knowledge sharing.
• Assist in troubleshooting and resolving production issues.
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