At Nike, we leverage the power of data and technology to serve athletes* around the world. The APEX 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.
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3+ years of experience in software development, with a strong foundation in distributed systems and data platforms.
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Deep expertise with cloud platforms like AWS, Azure, or GCP.
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Hands-on experience with Databricks, Snowflake, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark and Apache Airflow.
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Proficiency in programming languages such as Python, JavaScript, Java, Go, or C++.
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Strong understanding of Lakehouse architecture, Data Mesh principles, data governance frameworks, and modern data pipelines.
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Proven ability to deliver high-impact, API-first services at scale.
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Proficiency with tools like Terraform or AWS CloudFormation is critical for managing cloud infrastructure programmatically, ensuring consistency, and enabling automation.
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A strong familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications
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Strong problem-solving and analytical thinking skills.
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Excellent communication and collaboration skills.
WHAT YOU’LL WORK ON
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Design, develop, and maintain scalable data platforms and services.
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Develop SDKs, APIs, and microservices to support enterprise-wide data and analytics needs.
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Write clean, maintainable, and well-tested code.
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Implement best practices in software development, data governance, and platform observability.
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Collaborate with senior engineers and other team members to design and implement data solutions.
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Ensure data quality and reliability through testing and validation.
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Development of agentic and AI/LLM powered enterprise applications
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Participate in code reviews and contribute to team knowledge sharing.
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Assist in troubleshooting and resolving production issues.