Data Engineer, ITC

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.

• Demonstrated ability to work effectively in highly collaborative environments

• Bachelor’s degree in computer science, Engineering, Information Systems, or a related field; equivalent professional experience considered in lieu of a degree

• Over 3 years of industry experience in data engineering

• Proficient in SQL, Spark, and Python

• Practical experience with Databricks, AWS, and Snowflake platforms

• Solid understanding of data modeling, ETL processes, and data streaming technologies

• Familiarity with AWS services including Lambda, Step Functions, DynamoDB, Elasticsearch, and S3

• Experience programming in Java, with knowledge of JavaScript/TypeScript and Node.js

• Skilled in developing data visualization dashboards using frameworks such as React, Vue.js, or Angular

• Experienced in API development leveraging REST and GraphQL APIs for data services

• Strong grasp of microservices architecture and architectural design patterns

• Comprehensive understanding of CI/CD practices and DevOps responsibilities related to deploying and maintaining production software

• Knowledgeable in implementing and integrating artificial intelligence, machine learning, and related data solutions