WHO YOU’LL WORK WITH

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.

WHO WE ARE LOOKING FOR

We are looking for an experienced software engineer with a passion for building robust and scalable data solutions. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering high-quality software.

Skillset Required

• 5+ years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.

• Experience with various stages of software development, including design, development, testing, and deployment. 

• Strong programming skills in Python, Java, C++, SQL etc. 

• 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.

• 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.

• Strong problem-solving and analytical thinking skills.

• Experience in guiding and supporting junior engineers. 

• Excellent communication and collaboration skills.

WHAT YOU’LL WORK ON

• Design, develop, and maintain scalable data solutions.

• Build and optimize data pipelines, ensuring data quality and reliability.

• Develop SDKs, APIs, and microservices to support enterprise-wide data and analytics needs.

• Collaborate with cross-functional teams including product managers, data scientists, and other engineers to deliver high-impact solutions.

• Implement best practices in software development, data governance, and platform observability.

• Participate in code reviews, provide feedback, and mentor junior engineers.