Principal Engineer Nike, Inc., Beaverton, OR. Provide expert-level guidance and leadership on the most complex coding, configuration and implementation efforts; work with Product managers and business partners for prioritization, impact assessment and resolution; lead by example on how software solutions are built, tested, deployed, and supported. Work with other teams for multi-functional initiatives. 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 partners. Develop architecture and design patterns to process and store high volume data sets. Identify and tackle issues concerning data management to improve data quality. Collaborate on the implementation of new data management projects and restructure of the current data architecture. Implement automated workflows and routines using workflow scheduling tools. Build continuous integration, test-driven development, and production deployment frameworks. Tackle data issues and perform root cause analysis to proactively resolve product and operational issues. Participate in an Agile/Scrum methodology to deliver high quality software releases every two weeks through Sprints. Drive and ensure team work are of the highest quality and on time. 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.

Applicant must have a Masters degree in Computer Science, Software Engineering, or Mechanical Engineering and 2 years of experience in the job offered or a computer-related occupation.

Experience must include:

1. Python;
2. Apache Spark;
3. SQL;
4. RESTful Services;
5. Distributed Data Systems;
6. Apache Kafka;
7. Cloud databases;
8. CI/CD;
9. Jenkins;
10. Terraform; and
11. Cloud Service Providers.

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