Who You’ll Work With
At Nike, we leverage the power of data and technology to serve athletes* around the world. The Data & AI (DAI) 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 an experienced software engineer with a passion for building robust and scalable data platforms. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering high-quality software.
Skillset Required
5+ 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, JavaScript, Java, Go, or C++.
Deep expertise with cloud platforms like AWS, Azure, or GCP.
Hands-on experience with Databricks, Snowflake, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark and Apache Airflow.
Strong understanding of Lakehouse architecture, Data Mesh principles, data governance frameworks, and modern data pipelines.
A strong familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications
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.
Frontend Development: Proficiency in modern JavaScript frameworks (Vue.js, React, or Angular) and CSS preprocessors (SCSS/SASS). Experience with component-based architecture and responsive design principles.
Testing & Quality Standards: Test-driven development (TDD) mindset with hands-on experience in pytest, Cypress, or equivalent frameworks. Maintains high test coverage and uses static analysis tools (linters, type checkers) to ensure code quality and maintainability.
Git Workflow & Collaboration: Experience with Trunk-Based Development or GitFlow workflows. Comfortable with frequent integration and collaborative branching strategies.
Agile Delivery: Proven track record working in Scrum or agile teams with iterative, pragmatic, value-driven delivery. Ships incremental working software while balancing engineering rigor with timely solutions.
Business-centric Communication: Translates technical investigations into actionable insights for product stakeholders. Articulates the "why" behind technical recommendations in terms of user value, risk mitigation, or business impact. Produces documentation that enables team
understanding without requiring follow-up spikes.
Hands-on experience with containerization (Docker), CI/CD pipelines, and modern package managers (Poetry, npm/yarn).