Become a Part of the NIKE, Inc. Team
NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.
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 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.
Skillset Required
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, Java, C# or SQL.
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.
Excellent communication and collaboration skills.
WHAT YOU’LL WORK ON
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.
Participate in code reviews and contribute to team knowledge sharing.
Assist in troubleshooting and resolving production issues.
OUR HIRING GAME PLAN
01 Apply
Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.
02 Meet a Recruiter or Take an Assessment
If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.
03 Interview
Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.
