Back
Tier-1 brand, metro location, mid-level generalist title, and broad tech stack increase applicant competition.
Cloud-native data engineering skills are broadly transferable across industries.
Explicit 5+ years and many mandatory technologies enforce strict screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and develop data engineering solutions supporting Nike’s Consumer Product & Innovation (CP&I) community with modern modular, API-first tooling.
Coordinate and collaborate with global teams and coach junior engineers to deliver scalable data services and applications.
Design, develop, and deploy data pipelines, API services, and data visualization dashboards using cloud-native technologies and microservices architecture.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or relevant professional experience in lieu of a degree.
5+ years of hands-on industry experience in data engineering.
Proficiency with SQL, Spark, Python, Databricks, AWS, Snowflake, Java, and API development with REST/GraphQL.
Experience with AWS services including Lambda, Step Functions, DynamoDB, Elasticsearch, and S3; familiarity with SPA frameworks like React, Vue.js, or Angular for dashboards.
Experienced in cloud-native data engineering and software development in fast-paced collaborative environments.
Strong understanding of microservices architecture, CI/CD, DevOps, and architectural design patterns.
Capable of leading teams, providing technical guidance, and integrating AI/ML data solutions into engineering workflows.