Sr. 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 Bachelor’s degree in Computer Science, Computer Engineering or Electronics Engineering and five (5) years of progressive, post-baccalaureate experience in job offered or in an engineer-related occupation.

　　Experience must include the following:

　　Programing languages such as Python and SQL;

　　Data Modelling and Design;

　　Spark;

　　Airflow (Orchestration tool);

　　Source control tools such as GitHub and related CI/CD processes;

　　AWS environment and tools including EMR, S#, Kinesis, Redshift, and Athena;

　　Databricks platform including Lakehouse;

　　Data warehouses/RDBMS such as Snowflake and SQL server; and

　　Real Time Analytics tools and technologies including Kafka and Apache Storm.

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　　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, protected veteran status, or disability. NIKE is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call +1 503-671-4156 and let us know the nature of your request, your location and your contact information.