Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.

WHO YOU’LL WORK WITH

You will be a part of the larger Global Technology organization working on Nike’s internal product tools and report to the team’s Engineering Director.  You will work day-to-day with a team of engineers, the team’s Technical Product Manager and Principal Engineers in the organization on software projects to achieve Nike’s business objectives.  You will also engage with other Global Technology functions and teams on organizational and technical goals.

WHO WE ARE LOOKING FOR

We’re looking for a Data Engineer to solve complex software engineering problems supporting Nike’s pursuit of delivering state of the art tools to our Consumer Product and Innovation (CP&I) community. The candidate needs to be highly collaborative with peers, productive in a fast-paced development environment and have depth of native cloud software engineering experience.

WHAT YOU’LL WORK ON

You will be part of and leading a team of engineers building out tooling for our Consumer Product & Innovation team members. We are investing in building modular, configurable and “API-First” capabilities which will be consumed by modern web applications build with the most recent SPA frameworks. You are expected to help coordinate with other teams and provide guidance and coaching for more junior team members.

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field; or equivalent combination of education

  • 1-2+ years of hands-on experience in data engineering, software development, or related technical roles

  • Foundational proficiency in SQL for data querying and manipulation, with basic working knowledge of Python for data processing, scripting, and automation tasks

  • Exposure to Spark or similar distributed data processing frameworks, with understanding of big data concepts and parallel computing principles

  • Familiarity with at least one major cloud platform (AWS, Azure, Databricks, or Snowflake) and understanding of cloud-based data storage and processing services

  • Basic understanding of data modeling, ETL/ELT processes, and data pipeline fundamentals, with awareness of data streaming technologies and real-time data processing concepts

  • Knowledge of version control systems (Git), CI/CD concepts, and DevOps practices related to data engineering workflows and automated deployment pipelines

  • Exposure to REST API development and data service integration, with understanding of microservices architecture concepts and basic architectural design patterns

  • Awareness of data visualization concepts and dashboard design principles; experience with frameworks such as React, Vue.js, or Angular is a plus

  • Strong problem-solving skills, collaborative mindset, and ability to work effectively in highly collaborative environments with demonstrated learning agility and attention to detail

Apply Now
What You Can Expect

OUR HIRING GAME PLAN

01 Apply

Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.

02 Meet a Recruiter or Take an Assessment

If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete.  No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.

03 Interview

Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.

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