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