Data & Analytics
Senior Data Engineer
Beaverton, Oregon
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.
Senior Data Engineer–Nike Inc., Beaverton, OR. Develop data engineering capabilities data engineering pipelines from conception to operationalization while demonstrating an understanding of the full software development lifecycle. Design and implement scalable and secure Machine Learning & Data Products that bring Data Science applications or Business Intelligence applications live to have an immense business impact. Advise product owners on discrete technology-related business problems; formulates options, including assessing their relative merits and risks. Assess a well-defined problem and lead the development of a technical solution that meets the needs of the business and aligns with architectural standards. Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns. Implement complex automated routines using workflow orchestration tools. Anticipate, identify and tackle issues concerning data management to improve data quality. Build and incorporate automated unit tests and participate in integration testing efforts. Utilize and advance continuous integration and deployment frameworks. 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 Engineering, Computer Science, Machine Learning, Robotics and 2 years of experience in the position offered or in a Engineer-related occupation. Experience must include:
- Data Pipeline and workflow orchestration
- Data Ingestion, Processing and Transformation
- Apache Spark, Hadoop, Hive and S3
- Big Data and Data Warehousing
- Programing Languages (Python, SQL, Pyspark)
- Docker and Containerization
- Amazon Web Services
- Machine Learning.
Apply at www.jobs.nike.com (Job# R-42723)
#LI-DNI
NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.
NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
How We Hire
At NIKE, Inc. we promise to provide a premium, inclusive, compelling and authentic candidate experience. Delivering on this promise means we allow you to be at your best — and to do that, you need to understand how the hiring process works. Transparency is key. * This overview explains our hiring process for corporate roles. Note there may be different hiring steps involved for non-corporate roles.
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Whether it’s transportation or financial health, we continually invest in our employees to help them achieve greatness — inside and outside of work. All who work here should be able to realize their full potential.