Software Engineer III, Data Engineering - ITC

Who You’ll Work With

At Nike, the Data Foundation team builds 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 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.

Required Skills

• 5–7 years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.
• Experience across software development, including design, development, testing, and deployment.
• Strong programming skills in Python and SQL.
• Deep expertise with cloud platforms such as AWS, Azure, or GCP.
• Hands-on experience with Databricks, Snowflake, AWS EMR, AWS RDS, Azure SQL, GCP Cloud SQL, Apache Spark, Databricks Workflow, or Apache Airflow.
• Strong understanding of Lakehouse architecture, Data Mesh principles, data governance frameworks, and modern data pipelines.
• Ability to deliver high-impact, API-first services at scale.
• Proficiency with Terraform or AWS CloudFormation.
• Strong problem-solving and analytical thinking skills.
• Experience guiding and supporting junior engineers.
• Excellent communication and collaboration skills.
• Hands-on experience with observability and data quality.

Preferred Skills

• Basic understanding of machine learning and generative AI concepts.
• Exposure to LLMs and their applications, including data cataloging, data schematic layers, and data enrichment.
• Familiarity with prompt engineering techniques and evaluation.
• Experience with AI frameworks or agentic AI tools such as LangChain and OpenAI APIs.
• Understanding of RAG patterns and vector databases.
• Awareness of AI guardrails, responsible AI, and data privacy considerations.

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 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.

NIKE, Inc. offers a total rewards package, a casual work environment, a diverse and inclusive culture, and opportunities for professional development. NIKE, Inc. is an equal opportunity employer.