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.
Data Engineer - Nike Inc.- Beaverton, OR. Design and build simple reusable components of larger process or framework to support analytics products with mentorship from experienced peers; design and implement product features in collaboration with Business and Technology partners;; clean, prepare and optimize data at scale for ingestion and consumption; support the implementation of new data management projects and re-structure of the current data architecture; implement automated workflows and routines using workflow scheduling tools; understand and use continuous integration, test driven development and production deployment frameworks; Anticipate, identify and solve issues concerning data management to improve data quality. participate in design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards; analyze and profile data for the purpose of designing scalable solutions; and solve straightforward data issues and perform root cause analysis to proactively resolve product issues. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.
Must have a Master's degree in Computer Science, Engineering, Electronics Engineering and 2 years of experience in the job offered or in a data-related occupation. Experience must include;
• System development life cycle
• Cloud platforms, such as AWS and Databricks
• SQL
• Version control and CI/CD pipelines
• Extracting, transforming, and loading and data pipelines
• Scripting and automation
• Big data technologies, such as Hadoop, and Spark
• Data Warehouse concepts and methodologies
• Relational and nonrelational database design
• Programming languages, such as Python, Java, and Scala
Apply at www.Nike.com/Careers (Job #R-61137)
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We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.
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.
