Lead Data Engineer - Nike Inc. - Beaverton, OR. Develop architecture and designs patterns to process and store high volume data sets; provide technical leadership towards architecting and delivering end to end solutions; Collaborate with Product managers and partners for prioritization, impact assessment and resolution; Design, code and test plan reviews developed by other data engineers in support of maintaining data engineering standards; Partner with other teams for cross functional initiatives; Craft and build reusable components, frameworks and libraries at scale to support analytics products; Design and implement product features in collaboration with business and technology partners;; Identify issues concerning data management to improve data quality; Collaborate on the implementation of new data management projects and the 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; Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues; and Deliver high-quality software releases. 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, or System Sciences, and 2 years of experience in the job offered or in a Engineer-related occupation. Experience must include: 

• Data structures & Algorithms 

• Data Modeling, Data Warehousing, Snowflake 

• Python, Java, SQL 

• Spark, Databricks 

• CI/CD, Jenkins, Terraform 

• Docker 

• ETL pipelines, Airflow, AutoSys 

• AWS services: EMR, S3, Athena, EC2 

• Data Visualization, Tableau 

• Agile/Scrum practices 

• Hadoop, Hive, Pig, Oozie 

Apply at www.Nike.com/Careers (Job# R-59047 ) 

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