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
As a TEAM we interact with Supply chain and End to End fulfillment teams across the globe. It is our responsibility to partner with program, product and engineering peers to ensure we are aligning appropriate technology outcomes with prioritized product initiatives. Beyond our team, collaboration with other global engineering teams, business stakeholders, and technical peers to ensure solutions delivered by our team is essential.
WHO WE ARE LOOKING FOR
We are seeking an experienced Data engineer to join our team. As a key member of OMS team, you will designs, builds, and maintain scalable data infrastructure and pipelines, ensuring alignment with business requirements and industry best practices.
This role supports data scientists and analysts by ensuring reliable access to clean, structured data for analytics and machine learning.
Bachelor's degree in Computer Science, Information Technology, or related field
5+ years of experience in data engineering or related roles.
Strong experience with OMS products (Sales Force, Manhattan...)
Strong proficiency in Python, SQL, and data pipeline frameworks.
Experience with cloud services (AWS, GCP, Azure).
Familiarity with containerization tools (Docker, Kubernetes).
Knowledge of data modeling, stream processing, and message queuing systems.
Background in computer science, statistics, or related fields
Certifications in AWS, GCP, or other cloud platforms.
Experience with BI tools like Tableau or Power BI.
Understanding of machine learning workflows and deployment.
WHAT YOU’LL WORK ON
Support OMS Implementation
Design and implement ETL/ELT processes for data ingestion and transformation.
Build and maintain data warehouses and data lakes.
Develop and optimize data pipelines using tools like Spark, Python, SQL, and cloud platforms (AWS, GCP, Azure).
Collaborate with cross-functional teams to improve data models and support business intelligence.
Ensure data quality, consistency, and governance across systems.
Deploy machine learning models into production environments.
Lead junior engineers and promote best practices in data engineering.
Support reporting needs for OMS
Lead data extraction and data migration needs for OMS
Collaborate across teams (Product, architect, engineering) to support data needs for OMS.
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.
