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.

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 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.