About this role
WHO YOU’LL WORK WITH
At Nike, we leverage the power of data and technology to serve athletes* around the world. The Data Foundation team is at the forefront of this mission—building scalable, secure, and intelligent platforms that power decision-making across Nike’s global supply chain and planning ecosystem.
WHO WE ARE LOOKING FOR
We are looking for a skilled software engineer with a passion for building and maintaining data solutions. You thrive in a collaborative environment and have a proven track record of delivering reliable software.
Skillset Required
• 2-4 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 EMR, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark, Databricks Workflow and Apache Airflow.
• Proficiency in programming languages such as Python 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.
• Good hands on experience in observability and Data quality
Skillset Preferred (Good to Have)
• Basic understanding of Machine Learning and Generative AI concepts
• Exposure to LLMs (Large Language Models) and their applications (data cataloging, data schematic layer, data enrichment, etc.)
• Familiarity with prompt engineering techniques and evaluation
• Experience or exposure to AI frameworks/libraries, Agentic AI such as LangChain, OpenAI APIs, or similar
• Understanding of RAG (Retrieval-Augmented Generation) patterns and vector databases is a plus
• Awareness of AI guardrails, responsible AI, and data privacy considerations
WHAT YOU’LL WORK ON
What You’ll Do
• Design, develop, and maintain scalable data solutions.
• Develop and maintain data pipelines and services.
• 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.