Lead Data Engineer

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 https://www.Nike.com/Careers (Job# R-59047 )

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We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.