Senior Data Engineer – NIKE, Inc. - Beaverton, OR. Design and build reusable components, frameworks and libraries at scale to support analytics products; design and implement product features in collaboration with business and Technology stakeholders; identify and solve issues concerning data management to improve data quality; clean, prepare and optimize data for ingestion and consumption; collaborate on the implementation of new data management projects and re-structure of the current data architecture; implement automated workflows and routines using workflow scheduling tools; build continuous integration, test-driven development and production deployment frameworks; review design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards; analyze and profile data for designing scalable solutions; troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues; develop architecture and design patterns to process and store high volume data sets; and participate in an Agile / Scrum methodology to deliver high quality software releases through Sprints. 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. 

Employer will accept a Master’s degree in Computer Science, Engineering, Information Systems or Electrical Engineering and two (2) years of experience in the job offered or an engineering-related occupation. 

Experience must include the following: 

• Hadoop 

• Apache Spark 

• Hive 

• Data Modeling 

• Data warehouse including Snowflake and Teradata 

• Spark and Kafka streaming 

• CI/CD, Docker, and Jenkins 

• Data pipeline Orchestration – Airflow 

• Amazon Web Services (AWS) 

• Python 

• Scala 

• Map Reduce 

• Databricks 

Apply at www.jobs.nike.com (Job #R-51139 ). 

 #LI-DNI