Software Engineer III - Data Engineering , ITC - Remote Eligible

Software Engineer

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 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

• 5-7 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, SQL etc.
• 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.
• 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.
• Good hands on experience in observability and Data quality.

What You'll Work On

As a Software Engineer III in the team, you'll -

• 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.