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 Senior 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.
Experience working in a highly collaborative environment
Bachelor’s degree in computer science, Engineering, Information Systems, or similar field, or relevant professional experience in lieu of a degree
5+ years of hands-on industry data engineering experience
Proficiency in SQL, Spark, Python
Hands-on experience with Databricks, AWS, Snowflake
Demonstrated strength in data modeling, ETL development, and data streaming.
Experience with AWS products including Lambda, Step Functions, DynamoDB, Elasticsearch, S3
Demonstrated expertise in Java with understanding of JavaScript/TypeScript, Node.js
Experience with React, Vue.js, or Angular for data visualization dashboards
Demonstrated expertise in API development using REST/GraphQL APIs for data services
Good understanding of microservices architecture and architectural design patterns
Experience with CI/CD and DevOps responsibilities for deploying and supporting software in production
Good understanding of implementing and integrating AI, Machine Learning and related data solutions
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.
