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)